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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