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ORCIDGECCO 2005: Washington, DC, USA
- Hans-Georg Beyer, Una-May O'Reilly:
Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005. ACM 2005, ISBN 1-59593-010-8
Artificial life, evolutionary robotics, and adaptive behavior
- Chandana Paul, Hod Lipson
, Francisco J. Valero Cuevas:
Evolutionary form-finding of tensegrity structures. 3-10 - Vinod K. Valsalam, James A. Bednar, Risto Miikkulainen:
Constructing good learners using evolved pattern generators. 11-18 - Justin Schonfeld, Daniel A. Ashlock:
A study of evolutionary robustness in stochastically tiled polyominos. 19-26 - Ricardo Landa Becerra, Carlos A. Coello Coello:
Optimization with constraints using a cultured differential evolution approach. 27-34 - Matthias Scheutz, Paul W. Schermerhorn:
Predicting population dynamics and evolutionary trajectories based on performance evaluations in alife simulations. 35-42 - Keith L. Downing:
The predictive basis of situated and embodied artificial intelligence. 43-50 - Michelle McPartland, Stefano Nolfi, Hussein A. Abbass:
Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach. 51-58 - Daniel A. Ashlock, Eun-Youn Kim:
The impact of cellular representation on finite state agents for prisoner's dilemma. 59-66 - Hong-Long Liang, Chungnan Lee, Jain-Shing Wu:
Multiplex PCR primer design for gene family using genetic algorithm. 67-74 - A. E. Eiben, Martijn C. Schut, T. Toma:
Comparing multicast and newscast communication in evolving agent societies. 75-81 - Timothy G. W. Gordon, Peter J. Bentley:
Bias and scalability in evolutionary development. 83-90 - Sean Luke:
Evolutionary computation and the c-value paradox. 91-97 - John Rieffel, Jordan B. Pollack:
Automated assembly as situated development: using artificial ontogenies to evolve buildable 3-D objects. 99-106 - Ron Breukelaar, Thomas Bäck:
Using a genetic algorithm to evolve behavior in multi dimensional cellular automata: emergence of behavior. 107-114 - Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto:
Evolving visually guided agents in an ambiguous virtual world. 115-120 - Renato Reder Cazangi, Fernando J. Von Zuben, Maurício F. Figueiredo:
Autonomous navigation system applied to collective robotics with ant-inspired communication. 121-128 - Anthony Brabazon, Arlindo Silva, Tiago Ferra de Sousa, Michael O'Neill, Robin Matthews, Ernesto Costa:
Agent-based modelling of product invention. 129-136 - Andrew Stout, Lee Spector:
Validation of evolutionary activity metrics for long-term evolutionary dynamics. 137-142
Poster Session: Artificial life, evolutionary robotics, and adaptive behavior
- Tadahiko Murata, Masatoshi Yamaguchi:
Neighboring crossover to improve GA-based Q-learning method for multi-legged robot control. 145-146 - Gary B. Parker, Ramona Georgescu:
Evolution of multi-loop controllers for fixed morphology with a cyclic genetic algorithm. 147-148 - Artur Matos, Reiji Suzuki, Takaya Arita:
Evolutionary models for maternal effects in simulated developmental systems. 149-150
Ant colony optimization and swarm intelligence
- Horst F. Wedde, Muddassar Farooq, Thorsten Pannenbaecker, Bjoern Vogel, Christian Mueller, Johannes Meth, René Jeruschkat:
BeeAdHoc: an energy efficient routing algorithm for mobile ad hoc networks inspired by bee behavior. 153-160 - Matthew Settles, Terence Soule:
Breeding swarms: a GA/PSO hybrid. 161-168 - Riccardo Poli, Cecilia Di Chio, William B. Langdon:
Exploring extended particle swarms: a genetic programming approach. 169-176 - Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
Improving particle swarm optimization with differentially perturbed velocity. 177-184 - Matthew Settles, Paul Nathan, Terence Soule:
Breeding swarms: a new approach to recurrent neural network training. 185-192 - Christopher K. Monson, Kevin D. Seppi:
Bayesian optimization models for particle swarms. 193-200 - James Kennedy:
Dynamic-probabilistic particle swarms. 201-207 - Angel Eduardo Muñoz Zavala, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
Constrained optimization via particle evolutionary swarm optimization algorithm (PESO). 209-216 - Vegard Hartmann:
Evolving agent swarms for clustering and sorting. 217-224 - Efrén Mezura-Montes, Jesús Velázquez-Reyes, Carlos A. Coello Coello:
Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization. 225-232 - Mark Fleischer:
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems. 233-240 - Christopher K. Monson, Kevin D. Seppi:
Exposing origin-seeking bias in PSO. 241-248 - Wai-Kuan Foong, Holger R. Maier, Angus R. Simpson:
Ant colony optimization for power plant maintenance scheduling optimization. 249-256 - Carlo R. Raquel, Prospero C. Naval Jr.:
An effective use of crowding distance in multiobjective particle swarm optimization. 257-264
Poster Session: Ant colony optimization and swarm intelligence
- Bo-Fu Liu, Hung-Ming Chen, Jian-Hung Chen, Shiow-Fen Hwang, Shinn-Ying Ho:
MeSwarm: memetic particle swarm optimization. 267-268 - Mohammed El-Abd, Mohamed Kamel:
Factors governing the behavior of multiple cooperating swarms. 269-270 - Thang Nguyen Bui, Mufit Colpan:
Solving geometric TSP with ants. 271-272 - Thomas Schmickl, Ronald Thenius, Karl Crailsheim:
Simulating swarm intelligence in honey bees: foraging in differently fluctuating environments. 273-274 - Rafael Bello, Ann Nowé, Yaile Caballero, Yudel Gómez, Peter Vrancx:
A model based on ant colony system and rough set theory to feature selection. 275-276 - Zhihua Cui, Jianchao Zeng:
A modified particle swarm optimization predicted by velocity. 277-278
Artificial immune systems
- Zhou Ji, Dipankar Dasgupta:
Estimating the detector coverage in a negative selection algorithm. 281-288 - Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
An artificial immune network for multimodal function optimization on dynamic environments. 289-296 - Fabio A. González, Juan Carlos Galeano, Diego Alexander Rojas, Angélica Veloza-Suan:
Discriminating and visualizing anomalies using negative selection and self-organizing maps. 297-304 - Zaiyi Guo, Hann Kwang Han, Joc Cing Tay:
Sufficiency verification of HIV-1 pathogenesis based on multi-agent simulation. 305-312 - Peter Spellward, Tim Kovacs:
On the contribution of gene libraries to artificial immune systems. 313-319 - Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, Claudia Eckert:
Is negative selection appropriate for anomaly detection? 321-328 - Jui-Yu Wu, Yun-Kung Chung:
Artificial immune system for solving generalized geometric problems: a preliminary results. 329-336 - Joseph M. Shapiro, Gary B. Lamont, Gilbert L. Peterson:
An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection. 337-344 - Xiaoshu Hang, Honghua Dai:
Applying both positive and negative selection to supervised learning for anomaly detection. 345-352 - Ian Nunn, Tony White:
The application of antigenic search techniques to time series forecasting. 353-360 - Juan Carlos Galeano, Angélica Veloza-Suan, Fabio A. González:
A comparative analysis of artificial immune network models. 361-368
Poster Session: Artificial immune systems
- Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben:
RABNET: a real-valued antibody network for data clustering. 371-372 - Maoguo Gong, Licheng Jiao, Haifeng Du, Ronghua Shang, Bin Lu:
Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics. 373-374
Biological applications
- Joshua L. Payne, Margaret J. Eppstein:
A hybrid genetic algorithm with pattern search for finding heavy atoms in protein crystals. 377-384 - Thang Nguyen Bui, Gnanasekaran Sundarraj:
An efficient genetic algorithm for predicting protein tertiary structures in the 2D HP model. 385-392 - Praveen Koduru, Sanjoy Das, Stephen M. Welch, Judith L. Roe, Zenaida P. Lopez-Dee:
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models. 393-399 - Rolv Seehuus, Amund Tveit, Ole Edsberg:
Discovering biological motifs with genetic programming. 401-408 - Gloria Childress Townsend, Wade N. Hazel, Rick Smock:
Using evolutionary computation methods to support analytical models for the evolution and maintenance of conditional strategies in chthamalus anisopoma. 409-414 - Leon Poladian:
A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping. 415-422 - Tim Hohm, Daniel Hoffmann:
A multi-objective evolutionary approach to peptide structure redesign and stabilization. 423-429 - Habtom W. Ressom, Rency S. Varghese, Daniel Saha, Eduard Orvisky, Lenka Goldman, Emanuel F. Petricoin, Thomas P. Conrads, Timothy D. Veenstra, Mohamed Abdel-Hamid, Christopher A. Loffredo, Radoslav Goldman:
Particle swarm optimization for analysis of mass spectral serum profiles. 431-438 - Nasimul Noman, Hitoshi Iba:
Inference of gene regulatory networks using s-system and differential evolution. 439-446 - Dongsheng Che, Yinglei Song, Khaled Rasheed:
MDGA: motif discovery using a genetic algorithm. 447-452 - Topon Kumar Paul, Hitoshi Iba:
Extraction of informative genes from microarray data. 453-460 - Hiram A. Firpi, Erik D. Goodman, Javier R. Echauz:
Epileptic seizure detection by means of genetically programmed artificial features. 461-466
Poster Session: Biological applications
- Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell:
Identifying valid solutions for the inference of regulatory networks. 469-470 - David E. Cairns, G. J. Cameron, T. J. Wess:
Evolving an improved axial structure for fibrillar collagen. 471-472 - Jesús S. Aguilar-Ruiz, Federico Divina:
GA-based approach to discover meaningful biclusters. 473-474 - Feng-Mao Lin, Hsien-Da Huang, Hsi-Yuan Huang, Jorng-Tzong Horng:
Primer design for multiplex PCR using a genetic algorithm. 475-476 - Pasut Seeluangsawat, Prabhas Chongstitvatana:
A multiple objective evolutionary algorithm for multiple sequence alignment. 477-478 - Kay C. Wiese, Andrew Hendriks, Alain Deschênes, Belgacem Ben Youssef:
The impact of pseudorandom number quality on P-RnaPredict, a parallel genetic algorithm for RNA secondary structure prediction. 479-480
Coevolution
- Edwin D. de Jong:
The MaxSolve algorithm for coevolution. 483-489 - Faustino J. Gomez, Jürgen Schmidhuber:
Co-evolving recurrent neurons learn deep memory POMDPs. 491-498 - Sevan G. Ficici:
Monotonic solution concepts in coevolution. 499-506 - Elena Popovici, Kenneth A. De Jong:
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes. 507-514 - Pablo Funes, Enrique Pujals:
Intransitivity revisited coevolutionary dynamics of numbers games. 515-521 - Nathan Williams, Melanie Mitchell:
Investigating the success of spatial coevolution. 523-530 - Josh C. Bongard, Hod Lipson:
'Managed challenge' alleviates disengagement in co-evolutionary system identification. 531-538 - Anthony Bucci, Jordan B. Pollack:
On identifying global optima in cooperative coevolution. 539-544 - Chien-Feng Huang, Luis M. Rocha:
Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition. 545-552
Poster Session: Coevolution
- Deborah Vakas Duong, John J. Grefenstette:
The emulation of social institutions as a method of coevolution. 555-556 - Jeffrey Horn:
Shape nesting by coevolving species. 557-558 - Christophe Philemotte, Hugues Bersini:
Intrinsic emergence boosts adaptive capacity. 559-560
Evolutionary combinatorial optimization
- Katharina Anna Lehmann, Michael Kaufmann:
Evolutionary algorithms for the self-organized evolution of networks. 563-570 - Christian Gunia:
On the analysis of the approximation capability of simple evolutionary algorithms for scheduling problems. 571-578 - Benjamin Skellett, Benjamin Cairns, Nicholas Geard, Bradley Tonkes, Janet Wiles:
Maximally rugged NK landscapes contain the highest peaks. 579-584 - Bryant A. Julstrom:
The blob code is competitive with edge-sets in genetic algorithms for the minimum routing cost spanning tree problem. 585-590 - Kagan Tumer, Adrian K. Agogino:
Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments. 591-598 - Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent:
Transition models as an incremental approach for problem solving in evolutionary algorithms. 599-606 - Bryant A. Julstrom:
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem. 607-614 - Germán Jairo Hernández, Kenneth Wilder, Fernando Niño, Julian Garcia:
Towards a self-stopping evolutionary algorithm using coupling from the past. 615-620 - Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er:
Solving large scale combinatorial optimization using PMA-SLS. 621-628 - Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon:
An evolutionary lagrangian method for the 0/1 multiple knapsack problem. 629-635 - Hugo Terashima-Marín, E. J. Flores-Álvarez, Peter Ross:
Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems. 637-643
Poster Session: Evolutionary combinatorial optimization
- Lina Perelman, Avi Ostfeld:
Water distribution systems optimal design using cross entropy. 647-648 - István Borgulya:
A hybrid evolutionary algorithm for the p-median problem. 649-650 - Zong Woo Geem, Kang Seok Lee, Chung-Li Tseng:
Harmony search for structural design. 651-652
Estimation of distribution algorithms
- Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg:
Extracted global structure makes local building block processing effective in XCS. 655-662 - Martin Pelikan, Kumara Sastry, David E. Goldberg:
Multiobjective hBOA, clustering, and scalability. 663-670 - Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson:
Sub-structural niching in estimation of distribution algorithms. 671-678 - Stefan Droste:
Not all linear functions are equally difficult for the compact genetic algorithm. 679-686 - Ivan Tanev:
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot. 687-694 - Alden H. Wright, Sandeep Pulavarty:
On the convergence of an estimation of distribution algorithm based on linkage discovery and factorization. 695-702 - Jun Sakuma, Shigenobu Kobayashi:
Real-coded crossover as a role of kernel density estimation. 703-710 - Shengxiang Yang:
Population-based incremental learning with memory scheme for changing environments. 711-718 - Bo Yuan, Marcus Gallagher:
On the importance of diversity maintenance in estimation of distribution algorithms. 719-726 - Siddhartha Shakya, John A. W. McCall, Deryck Forsyth Brown:
Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis. 727-734 - Cláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo:
Combining competent crossover and mutation operators: a probabilistic model building approach. 735-742
Poster Session: Estimation of distribution algorithms
- Yi Hong, Qingsheng Ren, Jin Zeng:
Genetic drift in univariate marginal distribution algorithm. 745-746 - Moshe Looks, Ben Goertzel, Cassio Pennachin:
Learning computer programs with the bayesian optimization algorithm. 747-748 - Sergio Ivvan Valdez Peña, Salvador Botello Rionda, Arturo Hernández Aguirre:
Multiobjective shape optimization with constraints based on estimation distribution algorithms and correlated information. 749-750 - Chien-Feng Huang, Stefan Bieniawski, David H. Wolpert, Charlie E. M. Strauss:
A comparative study of probability collectives based multi-agent systems and genetic algorithms. 751-752
Evolutionary multiobjective optimization
- Peter A. N. Bosman, Edwin D. de Jong:
Exploiting gradient information in numerical multi--objective evolutionary optimization. 755-762 - Frank Neumann, Ingo Wegener:
Minimum spanning trees made easier via multi-objective optimization. 763-769 - Mian Li, Shapour Azarm, Vikrant Aute:
A multi-objective genetic algorithm for robust design optimization. 771-778 - Lam Thu Bui, Hussein A. Abbass, Daryl Essam:
Fitness inheritance for noisy evolutionary multi-objective optimization. 779-785 - Hisao Ishibuchi, Kaname Narukawa:
Comparison of evolutionary multiobjective optimization with rference solution-based single-objective approach. 787-794 - Yang Zhang, Peter I. Rockett:
Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection. 795-802 - Mary E. Kurz, Sarah Canterbury:
Minimizing total flowtime and maximum earliness on a single machine using multiple measures of fitness. 803-809 - Kai Xu, Sushil J. Louis, Roberto C. Mancini:
A scalable parallel genetic algorithm for x-ray spectroscopic analysis. 811-816 - Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima:
An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization. 817-824
Poster Session: Evolutionary multiobjective optimization
- Karlheinz Schmitt, Jörn Mehnen, Thomas Michelitsch:
Using predators and preys in evolution strategies. 827-828 - Shinya Watanabe, Kazutoshi Sakakibara:
The effectiveness of multiobjective optimizer in single-objective optimization enviroment. 829-830
Evolutionary strategies and evolutionary programming
- Tobias Storch:
On the impact of objective function transformations on evolutionary and black-box algorithms. 833-840 - Thomas Jansen, Ulf Schellbach:
Theoretical analysis of a mutation-based evolutionary algorithm for a tracking problem in the lattice. 841-848 - Jens Jägersküpper, Carsten Witt:
Rigorous runtime analysis of a (µ+1)ES for the sphere function. 849-856 - Anne Auger, Marc Schoenauer, Olivier Teytaud:
Local and global order 3/2 convergence of a surrogate evolutionary algorithm. 857-864 - Mike Preuss, Lutz Schönemann, Michael Emmerich:
Counteracting genetic drift and disruptive recombination in (µ, +lambda)-EA on multimodal fitness landscapes. 865-872 - Xiaodong Li:
Efficient differential evolution using speciation for multimodal function optimization. 873-880 - Junhong Liu, Jouni Lampinen:
A differential evolution based incremental training method for RBF networks. 881-888 - Pei Yee Ho, Kazuyuki Shimizu:
Simple addition of ranking method for constrained optimization in evolutionary algorithms. 889-896 - Michael Nashvili, Markus Olhofer, Bernhard Sendhoff:
Morphing methods in evolutionary design optimization. 897-904 - Tanasanee Phienthrakul, Boonserm Kijsirikul:
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines. 905-911
Poster Session: Evolutionary strategies and evolutionary programming
- Ofer M. Shir, Thomas Bäck:
Niching in evolution strategies. 915-916 - Oliver Kramer, Chuan-Kang Ting, Hans Kleine Büning:
A mutation operator for evolution strategies to handle constrained problems. 917-918 - Karlheinz Schmitt:
Using gene deletion and gene duplication in evolution strategies. 919-920 - Sadiq M. Sait, Syed Sanaullah, Ali Mustafa Zaidi, Mustafa I. Ali:
Comparative evaluation of parallelization strategies for evolutionary and stochastic heuristics. 921-922 - Lutz Schönemann:
Optimal number of evolution strategies mutation step sizes in dynamic environments. 923-924
Evolutionary hardware
- Didier Keymeulen, Wolfgang Fink, Michael I. Ferguson, Chris Peay, Boris Oks, Richard Terrile, Karl Yee:
Evolutionary computation applied to the tuning of MEMS gyroscopes. 927-932 - Saranyan A. Vigraham, John C. Gallagher, Sanjay K. Boddhu:
Evolving analog controllers for correcting thermoacoustic instability in real hardware. 933-940 - Lucian Prodan, Mihai Udrescu, Mircea Vladutiu:
Multiple-level concatenated coding in embryonics: a dependability analysis. 941-948 - Malay Kumar Pakhira, Rajat K. De:
A hardware pipeline for function optimization using genetic algorithms. 949-956 - Rusty Hunt, Gregory Hornby, Jason D. Lohn:
Toward evolved flight. 957-964
Meta-heuristics and local search
- Nasimul Noman, Hitoshi Iba:
Enhancing differential evolution performance with local search for high dimensional function optimization. 967-974 - John F. McLoughlin III, Walter Cedeño:
The enhanced evolutionary tabu search and its application to the quadratic assignment problem. 975-982 - David Quintana, Cristóbal Luque del Arco-Calderón, Pedro Isasi:
Evolutionary rule-based system for IPO underpricing prediction. 983-989 - Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
Two improved differential evolution schemes for faster global search. 991-998 - Abraham Duarte, Ángel Sánchez, Felipe Fernández, Raúl Cabido:
A low-level hybridization between memetic algorithm and VNS for the max-cut problem. 999-1006
Poster Session: Meta-heuristics and local search
- Salem Fawaz Adra, Ian Griffin, Peter J. Fleming:
Hybrid multiobjective genetic algorithm with a new adaptive local search process. 1009-1010
Search-based software engineering
- Phil McMinn, Mike Holcombe:
Evolutionary testing of state-based programs. 1013-1020 - Lionel C. Briand, Yvan Labiche, Marwa Shousha:
Stress testing real-time systems with genetic algorithms. 1021-1028 - Mark Harman, Stephen Swift, Kiarash Mahdavi:
An empirical study of the robustness of two module clustering fitness functions. 1029-1036 - Concettina Del Grosso, Giuliano Antoniol, Massimiliano Di Penta, Philippe Galinier, Ettore Merlo:
Improving network applications security: a new heuristic to generate stress testing data. 1037-1043 - Olaf Seng, Markus Bauer, Matthias Biehl, Gert Pache:
Search-based improvement of subsystem decompositions. 1045-1051 - Stefan Wappler, Frank Lammermann:
Using evolutionary algorithms for the unit testing of object-oriented software. 1053-1060 - Yuan Zhan, John A. Clark:
Search-based mutation testing for Simulink models. 1061-1068 - Gerardo Canfora, Massimiliano Di Penta, Raffaele Esposito, Maria Luisa Villani:
An approach for QoS-aware service composition based on genetic algorithms. 1069-1075
Poster Session: Search-based software engineering
- Andrew M. Sutton, Huzefa H. Kagdi, Jonathan I. Maletic, L. Gwenn Volkert:
Hybridizing evolutionary algorithms and clustering algorithms to find source-code clones. 1079-1080 - Karnig Derderian, Robert M. Hierons, Mark Harman, Qiang Guo:
Generating feasible input sequences for extended finite state machines (EFSMs) using genetic algorithms. 1081-1082 - Frank Lammermann, Stefan Wappler:
Benefits of software measures for evolutionary white-box testing. 1083-1084 - Joseph Haas, Maxim Peysakhov, Spiros Mancoridis:
GA-based parameter tuning for multi-agent systems. 1085-1086
Genetic algorithms
- Shengxiang Yang:
Memory-based immigrants for genetic algorithms in dynamic environments. 1115-1122 - Enrique Alba, Hugo Alfonso, Bernabé Dorronsoro:
Advanced models of cellular genetic algorithms evaluated on SAT. 1123-1130 - Artem Sokolov, L. Darrell Whitley:
Unbiased tournament selection. 1131-1138 - Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Feature influence for evolutionary learning. 1139-1145 - U. Chandimal de Silva, Joe Suzuki:
On the stationary distribution of GAs with fixed crossover probability. 1147-1151 - Nicholas Freitag McPhee, Ellery Fussell Crane:
A theoretical analysis of the HIFF problem. 1153-1160 - Dirk Sudholt:
Crossover is provably essential for the ising model on trees. 1161-1167 - Dong-il Seo, Byung Ro Moon:
Computing the epistasis variance of large-scale traveling salesman problems. 1169-1176 - Ivan I. Garibay, Annie S. Wu, Ozlem O. Garibay:
On favoring positive correlations between form and quality of candidate solutions via the emergence of genomic self-similarity. 1177-1184 - Chongshan Zhang, Khaled Rasheed:
Improving GA search reliability using maximal hyper-rectangle analysis. 1185-1192 - Helio J. C. Barbosa, Afonso C. C. Lemonge:
A genetic algorithm encoding for a class of cardinality constraints. 1193-1200 - Edwin D. de Jong, Richard A. Watson, Dirk Thierens:
On the complexity of hierarchical problem solving. 1201-1208 - Monte Lunacek, L. Darrell Whitley, James N. Knight:
Measuring mobility and the performance of global search algorithms. 1209-1216 - Tian-Li Yu, Kumara Sastry, David E. Goldberg:
Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. 1217-1224 - Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl:
Automatic feature selection in neuroevolution. 1225-1232 - J. Neal Richter, John T. Paxton, Alden H. Wright:
EA models and population fixed-points versus mutation rates for functions of unitation. 1233-1240 - Sung-Soon Choi, Kyomin Jung, Jeong Han Kim:
Phase transition in a random NK landscape model. 1241-1248 - Hal Stringer, Annie S. Wu:
Behavior of finite population variable length genetic algorithms under random selection. 1249-1255 - Sima Uyar, Gülsen Eryigit:
Improvements to penalty-based evolutionary algorithms for the multi-dimensional knapsack problem using a gene-based adaptive mutation approach. 1257-1264 - Lee K. Graham, Hassan Masum, Franz Oppacher:
Statistical analysis of heuristics for evolving sorting networks. 1265-1270 - Shane Legg, Marcus Hutter:
Fitness uniform deletion: a simple way to preserve diversity. 1271-1278 - Abdullah Konak, Alice E. Smith:
Designing resilient networks using a hybrid genetic algorithm approach. 1279-1285 - Yossi Borenstein, Riccardo Poli:
Information landscapes and the analysis of search algorithms. 1287-1294 - Zbigniew Skolicki, Kenneth A. De Jong:
The influence of migration sizes and intervals on island models. 1295-1302 - Maria Teresa Iglesias, Bart Naudts, Alain Verschoren, Concepción Vidal:
Walsh transforms, balanced sum theorems and partition coefficients over multary alphabets. 1303-1308 - Adrian K. Agogino, Kagan Tumer, Risto Miikkulainen:
Efficient credit assignment through evaluation function decomposition. 1309-1316 - Ayse S. Yilmaz, Annie S. Wu:
Preservation of genetic redundancy in the existence of developmental error and fitness assignment error. 1317-1324 - Kai Wing Tang, Ray A. Jarvis:
From supervised ranking to evolving behaviours of a robotic team. 1325-1332 - Mario Giacobini, Marco Tomassini, Andrea Tettamanzi:
Takeover time curves in random and small-world structured populations. 1333-1340 - Shuhei Kimura, Koki Matsumura:
Genetic algorithms using low-discrepancy sequences. 1341-1346 - Jun Sakuma, Shigenobu Kobayashi:
Latent variable crossover for k-tablet structures and its application to lens design problems. 1347-1354 - Alexei V. Samsonovich, Kenneth A. De Jong:
Pricing the 'free lunch' of meta-evolution. 1355-1362 - Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi:
Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness. 1363-1370 - Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong:
Applying price's equation to survival selection. 1371-1378 - David Pardoe, Michael S. Ryoo, Risto Miikkulainen:
Evolving neural network ensembles for control problems. 1379-1384 - Carlos Kavka, Patricia Roggero, Marc Schoenauer:
Evolution of Voronoi based fuzzy recurrent controllers. 1385-1392 - Yong-Hyuk Kim, Byung Ro Moon:
New topologies for genetic search space. 1393-1399 - William A. Greene:
Schema disruption in tree-structured chromosomes. 1401-1408 - Lixin Ding, Jinghu Yu:
Some theoretical results about the computation time of evolutionary algorithms. 1409-1415 - Shin Ando, Jun Sakuma, Shigenobu Kobayashi:
Adaptive isolation model using data clustering for multimodal function optimization. 1417-1424 - Yossi Borenstein, Riccardo Poli:
Information landscapes and problem hardness. 1425-1431 - Jürgen Branke, Erdem Salihoglu, Sima Uyar:
Towards an analysis of dynamic environments. 1433-1440 - Guofang Nan, Minqiang Li, Jisong Kou:
Multi-level genetic algorithm (MLGA) for the construction of clock binary tree. 1441-1445 - Yiyuan Gong, Morikazu Nakamura, Shiro Tamaki:
Parallel genetic algorithms on line topology of heterogeneous computing resources. 1447-1454 - Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg:
Quality-time analysis of multi-objective evolutionary algorithms. 1455-1462 - TeongJoo Ong, Ryan Saunders, John Keyser, John J. Leggett:
Terrain generation using genetic algorithms. 1463-1470 - Chen-hsiung Chan, Sheng-An Lee, Cheng-Yan Kao, Huai-Kuang Tsai:
Improving EAX with restricted 2-opt. 1471-1476 - Serkan Yilmaz, Kostadin Ivanov, Samuel Levine:
Application of genetic algorithm to optimize burnable poison placement in pressurized water reactors. 1477-1483 - Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto:
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices. 1485-1492 - William Rand, Rick L. Riolo:
The problem with a self-adaptative mutation rate in some environments: a case study using the shaky ladder hyperplane-defined functions. 1493-1500 - Zhao-hua Yang, Jian-cheng Fang, Zhen-qiang Qi:
Flight midcourse guidance control based on genetic algorithm. 1501-1506 - Jacob G. Martin:
Subproblem optimization by gene correlation with singular value decomposition. 1507-1514 - Yossi Borenstein, Riccardo Poli:
Information landscapes. 1515-1522 - Matthew A. Russell, Gary B. Lamont:
A genetic algorithm for unmanned aerial vehicle routing. 1523-1530 - Heni Ben Amor, Achim Rettinger:
Intelligent exploration for genetic algorithms: using self-organizing maps in evolutionary computation. 1531-1538 - Dirk Thierens:
An adaptive pursuit strategy for allocating operator probabilities. 1539-1546
Poster Session: Genetic algorithms
- Michael R. Peterson, Travis E. Doom, Michael L. Raymer:
GA-facilitated classifier optimization with varying similarity measures. 1549-1550 - Michelle Lyman, Gary Lewandowski:
Genetic programming for association rules on card sorting data. 1551-1552 - Anna Paszynska:
An extension of vose's markov chain model for genetic algorithms. 1553-1554 - Zhigang Wang, Mustafizur Rahman, Yoke San Wong:
Multi-niche crowding in the development of parallel genetic simulated annealing. 1555-1556 - Lam Thu Bui, Jürgen Branke, Hussein A. Abbass:
Diversity as a selection pressure in dynamic environments. 1557-1558 - José Antonio Martín H.:
Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations. 1559-1560 - Kei Ohnishi, Kaori Yoshida:
Evolutionary change in developmental timing. 1561-1562 - Dana Vrajitoru, Jason DeBoni:
Hybrid real-coded mutation for genetic algorithms applied to graph layouts. 1563-1564 - David M. Cherba, William F. Punch, Phillip M. Duxbury, Simon J. L. Billinge, Pavol Juhas:
Conformation of an ideal bucky ball molecule by genetic algorithm and geometric constraint from pair distance data: genetic algorithm. 1565-1566 - Surapong Auwatanamongkol:
Inexact pattern matching using genetic algorithm. 1567-1568 - Lin Cong, Yuheng Sha, Licheng Jiao, Fang Liu:
Directional self-learning of genetic algorithm. 1569-1570 - Cecília Reis, José António Tenreiro Machado, José Boaventura Cunha:
Fractional dynamic fitness functions for GA-based circuit design. 1571-1572 - Shin Ando, Shigenobu Kobayashi:
Fitness-based neighbor selection for multimodal function optimization. 1573-1574 - Johan Berntsson, Maolin Tang:
Adaptive sizing of populations and number of islands in distributed genetic algorithms. 1575-1576 - Jun Zhang, Henry Shu-Hung Chung, Jinghui Zhong:
Adaptive crossover and mutation in genetic algorithms based on clustering technique. 1577-1578 - Johan Berntsson, Maolin Tang:
Dynamic optimization of migration topology in internet-based distributed genetic algorithms. 1579-1580 - Jung Hwan Kim, Sung-Soon Choi, Byung Ro Moon:
Normalization for neural network in genetic search. 1581-1582 - Chang Wook Ahn, Sanghoun Oh, Rudrapatna S. Ramakrishna:
On the practical genetic algorithms. 1583-1584 - Sadiq M. Sait, Mohammed Faheemuddin, Mahmood R. Minhas, Syed Sanaullah:
Multiobjective VLSI cell placement using distributed genetic algorithm. 1585-1586 - Edgardo Ferretti, Susana C. Esquivel:
Knowledge insertion: an efficient approach to reduce effort in simple genetic algorithms for unrestricted parallel equal machines scheduling. 1587-1588 - Artem Sokolov, L. Darrell Whitley, Monte Lunacek:
Alternative implementations of the Griewangk function. 1589-1590 - Pedro A. Diaz-Gomez, Dean F. Hougen:
Analysis and mathematical justification of a fitness function used in an intrusion detection system. 1591-1592 - Pio Fenton, Paul Walsh:
A comparison of messy GA and permutation based GA for job shop scheduling. 1593-1594 - Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
Goal-oriented preservation of essential genetic information by offspring selection. 1595-1596 - Agustín León-Barranco, Sandra E. Barajas, Carlos A. Reyes García:
ARGEN + AREPO: mixing the artificial genetic engineering and artificial evolution of populations to improve the search process. 1597-1598 - Frank W. Moore:
A genetic algorithm for optimized reconstruction of quantized one-dimensional signals. 1599-1600 - Stephen Chen, Gregory Pitt:
Isolating the benefits of respect. 1601-1602
Genetic programming
- Jason Stevens, Robert B. Heckendorn, Terence Soule:
Exploiting disruption aversion to control code bloat. 1605-1612 - M. Collins:
Finding needles in haystacks is harder with neutrality. 1613-1618 - Jianjun Hu, Xiwei Zhong, Erik D. Goodman:
Open-ended robust design of analog filters using genetic programming. 1619-1626 - Jason M. Daida:
Towards identifying populations that increase the likelihood of success in genetic programming. 1627-1634 - Christian Lasarczyk, Wolfgang Banzhaf:
Total synthesis of algorithmic chemistries. 1635-1640 - Emily M. Zechman, S. Ranji Ranjithan:
Multipopulation cooperative coevolutionary programming (MCCP) to enhance design innovation. 1641-1648 - James Alfred Walker, Julian Francis Miller:
Investigating the performance of module acquisition in cartesian genetic programming. 1649-1656 - Paul Massey, John A. Clark, Susan Stepney:
Evolution of a human-competitive quantum fourier transform algorithm using genetic programming. 1657-1663 - Ian Dempsey, Michael O'Neill, Anthony Brabazon:
Meta-grammar constant creation with grammatical evolution by grammatical evolution. 1665-1671 - Sara Silva, Ernesto Costa:
Resource-limited genetic programming: the dynamic approach. 1673-1680 - David Jackson:
Parsing and translation of expressions by genetic programming. 1681-1688 - Lee Spector, Jon Klein, Maarten Keijzer:
The Push3 execution stack and the evolution of control. 1689-1696 - Cezary Z. Janikow, Christopher J. Mann:
CGP visits the Santa Fe trail: effects of heuristics on GP. 1697-1704 - Tadahiko Murata, Takashi Nakamura:
Genetic network programming with automatically defined groups for assigning proper roles to multiple agents. 1705-1712 - Jason M. Daida, Michael E. Samples, Matthew J. Byom:
Probing for limits to building block mixing with a tunably-difficult problem for genetic programming. 1713-1720 - Marc D. Richards, L. Darrell Whitley, J. Ross Beveridge, Todd Mytkowicz, Duong Nguyen, David Rome:
Evolving cooperative strategies for UAV teams. 1721-1728 - Gregory Hornby:
Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design. 1729-1736 - James F. Smith III:
Evolving fuzzy decision tree structure that adapts in real-time. 1737-1744 - David Jackson:
Dormant program nodes and the efficiency of genetic programming. 1745-1751 - Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell:
Multi-chromosomal genetic programming. 1753-1759 - Byoung-Tak Zhang, Ha-Young Jang:
Molecular programming: evolving genetic programs in a test tube. 1761-1768
Poster Session: Genetic programming
- Sireesha Besetti, Terence Soule:
Function choice, resiliency and growth in genetic programming. 1771-1772 - Hammad Majeed, Conor Ryan, R. Muhammad Atif Azad:
Evaluating GP schema in context. 1773-1774 - Kohsuke Yanai, Hitoshi Iba:
Probabilistic distribution models for EDA-based GP. 1775-1776 - Riccardo Poli, William B. Langdon:
Backward-chaining genetic programming. 1777-1778 - Nate Foreman, Matthew P. Evett:
Preventing overfitting in GP with canary functions. 1779-1780 - Nelishia Pillay:
An investigation into using genetic programming as a means of inducing solutions to novice procedural programming problems. 1781-1782 - Sylvain Gelly, Olivier Teytaud, Nicolas Bredèche, Marc Schoenauer:
A statistical learning theory approach of bloat. 1783-1784 - Radovan Ondas, Martin Pelikan, Kumara Sastry:
Scalability of genetic programming and probabilistic incremental program evolution. 1785-1786 - Xiao Luo, Malcolm I. Heywood, Nur Zincir-Heywood:
Evolving recurrent models using linear GP. 1787-1788 - Ján Antolík, William H. Hsu:
Evolutionary tree genetic programming. 1789-1790 - Michael E. Samples, Jason M. Daida, Matthew J. Byom, Matt Pizzimenti:
Parameter sweeps for exploring GP parameters. 1791-1792
Learning classifier systems and other genetics-based machine learning
- Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber:
Modeling systems with internal state using evolino. 1795-1802 - B. Ravichandran, Avinash Gandhe, Robert E. Smith:
XCS for robust automatic target recognition. 1803-1810 - Leila Shila Shafti, Eduardo Pérez:
Constructive induction and genetic algorithms for learning concepts with complex interaction. 1811-1818 - Drew Mellor:
A first order logic classifier system. 1819-1826 - Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg:
Extending XCSF beyond linear approximation. 1827-1834 - Martin V. Butz:
Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. 1835-1842 - Jaume Bacardit:
Analysis of the initialization stage of a Pittsburgh approach learning classifier system. 1843-1850 - Jan Drugowitsch, Alwyn Barry:
XCS with eligibility traces. 1851-1858 - Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg:
XCS with computed prediction in multistep environments. 1859-1866 - Samuel Landau, Olivier Sigaud, Marc Schoenauer:
ATNoSFERES revisited. 1867-1874 - William N. L. Browne, Dan Scott:
An abstraction agorithm for genetics-based reinforcement learning. 1875-1882 - Hai Huong Dam, Hussein A. Abbass, Chris Lokan:
DXCS: an XCS system for distributed data mining. 1883-1890
Poster Session: Learning classifier systems and other genetics-based machine learning
- Xavier Llorà, Kumara Sastry, David E. Goldberg:
The compact classifier system: motivation, analysis, and first results. 1993-1994
Real world applications
- M. Ihsan Ecemis, Eric Bonabeau, Trent Ashburn:
Interactive estimation of agent-based financial markets models: modularity and learning. 1897-1904 - Julien Budynek, Eric Bonabeau, Ben Shargel:
Evolving computer intrusion scripts for vulnerability assessment and log analysis. 1905-1912 - Yiu-Fai Sit, Risto Miikkulainen:
Learning basic navigation for personal satellite assistant using neuroevolution. 1913-1920 - Deon Garrett, Joseph Vannucci, Rodrigo Silva-Lugo, Dipankar Dasgupta, James Simien:
Genetic algorithms for the sailor assignment problem. 1921-1928 - Jeffrey P. Ridder, Jason C. HandUber:
Mission planning for joint suppression of enemy air defenses using a genetic algorithm. 1929-1936 - Lucas Bradstreet, Luigi Barone, Lyndon While:
Map-labelling with a multi-objective evolutionary algorithm. 1937-1944 - Thomas Schlichter, Christian Haubelt, Jürgen Teich:
Improving EA-based design space exploration by utilizing symbolic feasibility tests. 1945-1952 - John R. Koza, Sameer H. Al-Sakran, Lee W. Jones:
Automated re-invention of six patented optical lens systems using genetic programming. 1953-1960 - Uli Grasemann, Risto Miikkulainen:
Effective image compression using evolved wavelets. 1961-1968 - Eric-Wubbo Lameijer, Adriaan P. IJzerman, Joost N. Kok:
The molecule evoluator: an interactive evolutionary algorithm for designing drug molecules. 1969-1976 - Kenneth O. Stanley, Nate Kohl, Rini Sherony, Risto Miikkulainen:
Neuroevolution of an automobile crash warning system. 1977-1984 - Ingo Mierswa:
Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants. 1985-1992 - David J. Montana, Jason Redi:
Optimizing parameters of a mobile ad hoc network protocol with a genetic algorithm. 1993-1998 - Maarten Keijzer, Martin Baptist, Vladan Babovic, Javier Rodriguez Uthurburu:
Determining equations for vegetation induced resistance using genetic programming. 1999-2006 - Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong:
Parameterized versus generative representations in structural design: an empirical comparison. 2007-2014 - Daniel Stevens, Sanjoy Das, Balasubramaniam Natarajan:
A multi-objective algorithm for DS-CDMA code design based on the clonal selection principle. 2015-2020 - Franz Rothlauf, Daniel Schunk, Jella Pfeiffer:
Classification of human decision behavior: finding modular decision rules with genetic algorithms. 2021-2028 - Greg Lee, Vadim Bulitko:
GAMM: genetic algorithms with meta-models for vision. 2029-2036 - Yoon-Seok Choi, Byung Ro Moon, Sang Yong Seo:
Genetic fuzzy discretization with adaptive intervals for classification problems. 2037-2043 - Ju Han, Bir Bhanu:
Hierarchical multi-sensor image registration using evolutionary computation. 2045-2052 - Bogdan Tomoyuki Nassu, Elias Procópio Duarte Jr., Aurora Trinidad Ramirez Pozo:
A comparison of evolutionary algorithms for system-level diagnosis. 2053-2060 - Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon:
Stock prediction based on financial correlation. 2061-2066 - Garnett Carl Wilson, Malcolm I. Heywood:
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger. 2067-2073 - Jonathan Wight, Yi Zhang:
An "ageing" operator and its use in the highly constrained topological optimization of HVAC system design. 2075-2082 - Barry Ahrens:
Genetic algorithm optimization of superresolution parameters. 2083-2088 - Yung-Keun Kwon, Byung Ro Moon:
Nonlinear feature extraction using a neuro genetic hybrid. 2089-2096 - Ashish Sureka, Peter R. Wurman:
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions. 2097-2103 - Maoguo Gong, Ling Wang, Licheng Jiao, Haifeng Du:
An artificial immune system algorithm for CDMA multiuser detection over multi-path channels. 2105-2111 - Emma Carter, Steve Ebdon, Clive Neal-Sturgess:
Optimization of passenger car design for the mitigation of pedestrian head injury using a genetic algorithm. 2113-2120 - Samer L. Hijazi, Balasubramaniam Natarajan, Sanjoy Das:
An ant colony algorithm for multi-user detection in wireless communication systems. 2121-2126 - Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pahwa, Surasish Nag:
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction in overhead feeders. 2127-2132 - Jeremiah Nummela, Bryant A. Julstrom:
Evolving petri nets to represent metabolic pathways. 2133-2139 - Bo Yuan, Marcus Gallagher, Stuart Crozier:
MRI magnet design: search space analysis, EDAs and a real-world problem with significant dependencies. 2141-2148 - Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L. Raines:
Predicting mining activity with parallel genetic algorithms. 2149-2155 - Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters. 2157-2163 - Andrea Soltoggio:
An enhanced GA to improve the search process reliability in tuning of control systems. 2165-2172 - Martina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda, Toshiyuki Arima:
Three dimensional evolutionary aerodynamic design optimization with CMA-ES. 2173-2180 - Q. Tuan Pham:
Evolutionary optimization of dynamic control problems accelerated by progressive step reduction. 2181-2187
Poster Session: Real world applications
- Fatih Alim, Kostadin Ivanov:
Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem. 2191-2192 - Ernesto Sánchez, Massimiliano Schillaci, Matteo Sonza Reorda, Giovanni Squillero, Luca Sterpone, Massimo Violante:
New evolutionary techniques for test-program generation for complex microprocessor cores. 2193-2194 - Tomoyuki Hiroyasu, Mitsunori Miki, Seiichi Nakayama, Yoshiko Hanada:
Multi-objective optimization of diesel engine emissions and fuel economy using SPEA2+. 2195-2196 - Keshav P. Dahal, Stuart J. Galloway, Graeme M. Burt, Jim R. McDonald, Ian Hopkins:
A case study of process facility optimization using discrete event simulation and genetic algorithm. 2197-2198 - Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes:
Collaborative interactive evolution. 2199-2200 - Yuji Sato, Ryutaro Kanno:
Event-driven learning classifier systems for online soccer games. 2201-2202 - Paul Whiting, Pui Wah Poon, Jonathan N. Carter:
A genetic algorithm approach to the selection of near-optimal subsets from large sets. 2203-2204 - Ming-Hui Jin, Cheng-Yan Kao, Yu-Cheng Huang, D. Frank Hsu, Ren-Guey Lee, Chih-Kung Lee:
Compact genetic algorithm for active interval scheduling in hierarchical sensor networks. 2205-2206 - Flor A. Castillo, Carlos M. Villa:
Symbolic regression in multicollinearity problems. 2207-2208 - Mohammad I. Daoud, Nawwaf N. Kharma:
GATS 1.0: a novel GA-based scheduling algorithm for task scheduling on heterogeneous processor nets. 2209-2210 - Timothy Meekhof, Robert B. Heckendorn:
Using evolutionary optimization to improve Markov-based classification with limited training data. 2211-2212 - Richard O. Day, Abel S. Nunez, Gary B. Lamont:
MOEA design of robust digital symbol sets. 2213-2214 - Kisung Seo, Erik D. Goodman, Ronald C. Rosenberg:
Design of air pump system using bond graph and genetic programming method. 2215-2216 - Chihoon Lim, Eoksu Sim:
Production planning in manufacturing/remanufacturing environment using genetic algorithm. 2217-2218 - Diego Sal Díaz, Manuel Graña Romay:
Introducing a watermarking with a multi-objective genetic algorithm. 2219-2220 - Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato:
A new evolutionary method for time series forecasting. 2221-2222
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