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ORCIDCEC 2003: Canberra, Australia
- Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, Canberra, Australia, December 8-12, 2003. IEEE 2003, ISBN 0-7803-7804-0
Volume 1
- Yuren Zhou, Yuanxing Li, Jun He, Lishan Kang:
Multi-objective and MGG evolutionary algorithm for constrained optimization. 1-5 - Efrén Mezura-Montes
, Carlos A. Coello Coello:
Adding a diversity mechanism to a simple evolution strategy to solve constrained optimization problems. 6-13 - Jhingzi Li, Lishan Kang, Zhijian Wu:
An adaptive neighborhood-based multi-parent crossover operator for real-coded genetic algorithms. 14-21 - Shigeyoshi Tsutsui, Tomoyuki Hiroyasu, Mitsunori Miki:
The effect of introducing a tag node in solving scheduling problems using histogram based sampling algorithms. 22-29 - Thomas Jansen, R. Paul Wiegand:
Sequential versus parallel cooperative coevolutionary (1+1) EAs. 30-37 - Mohamed Mohideen Anver, Russel J. Stonier:
A coevolutionary approach for optimization of image enhancement filters. 38-45 - Dan Ashlock, Elizabeth Blankenship, Jonathan Gandrud:
A note on general adaptation in populations of painting robots. 46-53 - Ricardo M. Hoar, Joanne K. Penner, Christian Jacob:
Transcription and evolution of a virtual bacteria culture. 54-61 - Per Kristian Lehre, Pauline C. Haddow:
Developmental mappings and phenotypic complexity. 62-68 - Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with learning and evolution for adapting to dynamical environments. 69-76 - Kay Chen Tan, W. Peng, Tong Heng Lee, Ji Cai:
Development of a distributed evolutionary computing package. 77-84 - Irman Hermadi, Moataz A. Ahmed:
Genetic algorithm based test data generator. 85-91 - Jin-Hyuk Hong, Sung-Bae Cho:
MEH: modular evolvable hardware for designing complex circuits. 92-99 - Xing Quan Zuo, Shi Yong Li:
Design of a fuzzy logical controller by immune algorithm with application to an inverted pendulum system. 100-106 - Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi, Antonio Parlato:
An evolutionary approach for reducing the switching activity in address buses. 107-114 - Naofumi Homma, Masanori Natsui, Takafumi Aoki, Tatsuo Higuchi:
VLSI circuit design using an object-oriented framework of evolutionary graph generation system. 115-122 - Dipankar Dasgupta, Zhou Ji, Fabio A. González:
Artificial immune system (AIS) research in the last five years. 123-130 - Andrew Secker, Alex Alves Freitas, Jon Timmis:
AISEC: an artificial immune system for e-mail classification. 131-138 - Jacob T. Jackson, Gregg H. Gunsch, Roger L. Claypoole Jr., Gary B. Lamont:
Novel steganography detection using an artificial immune system approach. 139-145 - Leandro Nunes de Castro:
The immune response of an artificial immune network (aiNet). 146-153 - Yasuhiro Takahashi, Yasuhito Kawano, Masahiro Kitagawa:
On the computational power of constant-depth quantum circuits with gates for addition. 154-161 - Tianhai Tian, Kevin Burrage:
Stochastic neural network models for gene regulatory networks. 162-169 - André Leier, Wolfgang Banzhaf:
Exploring the search space of quantum programs. 170-177 - Kuk-Hyun Han, Jong-Hwan Kim:
On setting the parameters of quantum-inspired evolutionary algorithm for practical application. 178-194 - Kai Willadsen, Janet Wiles:
Dynamics of gene expression in an artificial genome. 185-190 - Peter Eggenberger Hotz:
Genome-physics interaction as a new concept to reduce the number of genetic parameters in artificial evolution. 191-198 - Nicholas Geard, Janet Wiles:
Structure and dynamics of a gene network model incorporating small RNAs. 199-206 - Shin Ando, Hitoshi Iba:
Estimation of gene regulatory network by genetic algorithm and pairwise correlation analysis. 207-214 - D. W. van der Merwe, Andries P. Engelbrecht:
Data clustering using particle swarm optimization. 215-220 - Yongling Zheng, Longhua Ma, Liyan Zhang, Ji-Xin Qian:
Empirical study of particle swarm optimizer with an increasing inertia weight. 221-226 - Ulrich Paquet, Andries P. Engelbrecht:
A new particle swarm optimiser for linearly constrained optimisation. 227-233 - Nelis Franken, Andries P. Engelbrecht:
Comparing PSO structures to learn the game of checkers from zero knowledge. 234-241 - Lirong Tian, Tughrul Arslan:
A genetic algorithm for energy efficient device scheduling in real-time systems. 242-247 - Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung:
Evolving data classification programs using genetic parallel programming. 248-255 - Adnan Acan, Hakan Altinçay, Yüce Tekol, Ahmet Ünveren:
A genetic algorithm with multiple crossover operators for optimal frequency assignment problem. 256-263 - Gary Gréwal, Mike O'Cleirigh, Mark Wineberg:
An evolutionary approach to behavioural-level synthesis. 264-272 - Sébastien Vérel, Philippe Collard, Manuel Clergue:
Where are bottlenecks in NK fitness landscapes? 273-280 - Michael Defoin-Platel, Manuel Clergue, Philippe Collard:
Homology gives size control in genetic programming. 281-288 - Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue:
Fitness distance correlation in genetic programming: a constructive counterexample. 289-296 - Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty:
An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms. 297-304 - Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano, Leonardo Vanneschi, Marco Tomassini:
Diversity analysis in cellular and multipopulation genetic programming. 305-311 - René Thomsen, Gary B. Fogel, Thiemo Krink:
Improvement of clustal-derived sequence alignments with evolutionary algorithms. 312-319 - Clare Bates Congdon, Kevin J. Septor:
Phylogenetic trees using evolutionary search: initial progress in extending Gaphyl to work with genetic data. 320-326 - Jakob Vesterstrom:
Physical mapping using annealing and evolutionary algorithms. 327-334 - Kay C. Wiese, Alain Deschênes, Edward Glen:
Permutation-based RNA secondary structure prediction via a genetic algorithm. 335-342 - Andrew Hendriks, Kay C. Wiese, Edward Glen, Alain Deschênes:
A distributed genetic algorithm for RNA secondary structure prediction. 343-350 - Simon M. Lucas, T. Jeff Reynolds:
Learning DFA: evolution versus evidence driven state merging. 351-358 - Magdalena D. Bugajska, Alan C. Schultz:
Anytime coevolution of form and function. 359-366 - Henry Kwong, Christian Jacob:
Evolutionary exploration of dynamic swarm behaviour. 367-374 - Sadiq M. Sait, Mostafa I. H. Abd-El-Barr, Uthman S. Al-Saiari, Bambang A. B. Sarif:
Digital circuit design through simulated evolution (SimE). 375-381 - Robert Thomson, Tughrul Arslan:
On the impact of modelling, robustness and diversity to the performance of a multi-objective evolutionary algorithm for digital VLSI system design. 382-389 - Terri Oda, Tony White:
Increasing the accuracy of a spam-detecting artificial immune system. 390-396 - Lei Wang, Béat Hirsbrunner:
An evolutionary algorithm with population immunity and its application on autonomous robot control. 397-404 - Jungwon Kim, Arlene Ong, Richard E. Overill:
Design of an artificial immune system as a novel anomaly detector for combating financial fraud in the retail sector. 405-412 - Johnny Kelsey, Jonathan Timmis, Andrew Hone:
Chasing chaos. 413-419 - Patrícia Amâncio Vargas, Leandro Nunes de Castro, Roberto Michelan, Fernando J. Von Zuben:
Implementation of an immuno-genetic network on a real Khepera II robot. 420-426 - Yaniv Bernstein, Xiaodong Li:
Critical dynamics in evolutionary algorithms. 427-434 - Hussein A. Abbass, Adil M. Bagirov, Jiapu Zhang:
The discrete gradient evolutionary strategy method for global optimization. 435-442 - Bo Yuan, Marcus Gallagher:
Playing in continuous spaces: some analysis and extension of population-based incremental learning. 443-450 - Bo Yuan, Marcus Gallagher:
On building a principled framework for evaluating and testing evolutionary algorithms: a continuous landscape generator. 451-458 - Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Takeshi Yoshida:
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing. 459-466 - Russel J. Stonier, N. Young:
Co-evolutionary learning and hierarchical fuzzy control for the inverted pendulum. 467-473 - Jun Zhang, Henry Shu-Hung Chung, Wai-Lun Lo, Eugene P. W. Tam, J. J. Lee, Angus K. M. Wu:
Pseudo-coevolutionary genetic algorithms for power electronic circuits optimization. 474-481 - Carlos A. Coello Coello, Margarita Reyes Sierra:
A coevolutionary multi-objective evolutionary algorithm. 482-489 - Joseph A. Rothermich, Fang Wang, Julian Francis Miller:
Adaptivity in cell based optimization for information ecosystems. 490-497 - J. E. Smith:
Co-evolving memetic algorithms: a learning approach to robust scalable optimisation. 498-505 - Shotaro Kamio, Hitoshi Iba:
Real-time adaptation technique to real robots: an experiment with a humanoid robot. 506-513 - Genci Capi, Kenji Doya:
Evolving recurrent neural controllers for sequential tasks: a parallel implementation. 514-519 - Hoi Shun Miu, Kwong-Sak Leung, Yee Leung:
An evolutionary multi-agent system for object recognition in satellite images. 520-527 - Leland Hovey, Dmitri E. Volper, Jae C. Oh:
Evolution of optimal compute server clusters for dynamic load-balancing systems. 528-535 - Gary B. Parker, H. Joseph Blumenthal:
Comparison of sampling sizes for the co-evolution of cooperative agents. 536-543 - Jean-Baptiste Gotteland, Nicolas Durand:
Genetic algorithms applied to airport ground traffic optimization. 544-551 - Atsuko Mutoh, Tsuyoshi Nakamura, Shohei Kato, Hidenori Itoh:
Reducing execution time on genetic algorithm in real-world applications using fitness prediction: parameter optimization of SRM control. 552-559 - Adnan Acan, Ahmet Ünveren, Yüce Tekol:
Evolutionary estimation of assignment-ordering function for CSP-modeled combinatorial optimization. 560-565 - Kokolo Ikeda, Akihiro Nagaiwa, Kei Aoki, Shigenobu Kobayashi:
Independent constraint satisfaction and its application to sewerage system control. 566-573 - Renato Reder Cazangi, Fernando J. Von Zuben, Maurício F. Figueiredo:
A classifier system in real applications for robot navigation. 574-580 - Jianxiong Wang, Tom Downs:
Tuning pattern classifier parameters using a genetic algorithm with an application in mobile robotics. 581-586 - Zhao Xu, Zhao Yang Dong, Kit Po Wong:
Optimal dispatch of spinning reserve in a competitive electricity market using genetic algorithm. 587-592 - C. S. Chang, L. R. Lu, F. Wang:
Application of differential evolution for harmonic worst-case identification of mass rapid transit power supply system. 593-599 - Kieun Kim, Chilukuri K. Mohan:
Parallel hierarchical adaptive genetic algorithm for fragment assembly. 600-607 - Yanan Zhang, Wanquan Liu, Zhaoyang Dong:
A learning approach for performance evaluation of local network. 608-614 - Ryohei Morishita, Hiroaki Imade, Isao Ono, Norihiko Ono, Masahiro Okamoto:
Finding multiple solutions based on an evolutionary algorithm for inference of genetic networks by S-system. 615-622 - Hiroaki Imade, Ryohei Morishita, Isao Ono, Norihiko Ono, Masahiro Okamoto:
A framework of grid-oriented genetic algorithms for large-scale optimization in bioinformatics. 623-630 - Shuhei Kimura, Mariko Hatakeyama, Akihiko Konagaya:
Inference of S-system models of genetic networks using a genetic local search. 631-638 - Hidefumi Sawai, Hideaki Suzuki:
Chemical genetic algorithms - coevolutionary genotype-phenotype mapping by modelling of metabolism in cell. 639-646 - Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin, Bernhard Sendhoff:
Comparative studies on micro heat exchanger optimisation. 647-654 - Kang Tai, Shamim Akhtar:
Development and testing of a morphological geometric representation scheme for topology design optimization using a genetic algorithm. 655-662 - Lars Willmes, Thomas Bäck, Yaochu Jin, Bernhard Sendhoff:
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization. 663-670 - Sheng Yin Wang, Kang Tai:
A bit-array representation GA for structural topology optimization. 671-677 - Andrew Lim, Brian Rodrigues, Fei Xiao:
Using an evolutionary algorithm for bandwidth minimization. 678-683 - Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu Sugiyama:
Group selection and its application to constrained evolutionary optimization. 684-691 - Holger Ulmer, Felix Streichert, Andreas Zell:
Evolution strategies assisted by Gaussian processes with improved preselection criterion. 692-699 - Jörg Denzinger, Jordan Kidney:
Improving migration by diversity. 700-707 - Mostafa I. H. Abd-El-Barr, Sadiq M. Sait, Bambang A. B. Sarif, Uthman S. Al-Saiari:
A modified ant colony algorithm for evolutionary design of digital circuits. 708-715 - Jaime J. Dávila:
Evolution of hierarchical neural networks for time-dependent cognitive processes: key recognition for musical compositions. 716-722 - Siavash Haroun Mahdavi, Sean Hanna:
An evolutionary approach to microstructure optimisation of stereolithographic models. 723-730 - Gunnar Tufte, Pauline C. Haddow:
Identification of functionality during development on a virtual Sblock FPGA. 731-738
Volume 2
- Toru Eguchi, Kotaro Hirasawa, Jinglu Hu:
Symbiotic evolutional models in multiagent systems. 739-746 - Diego Federici:
Combining genes and memes to speed up evolution. 747-754 - Jason Teo, Hussein A. Abbass:
Elucidating the benefits of a self-adaptive Pareto EMO approach for evolving legged locomotion in artificial creatures. 755-762 - Joe Imae, Yoshiteru Kikuchi, Nobuyuki Ohtsuki, Tomoaki Kobayashi:
A nonlinear control system design based on HJB/HJI/FBI equations via differential genetic programming approach. 763-769 - Stefan Janson, Martin Middendorf:
A hierarchical particle swarm optimizer. 770-776 - Ashraf M. Abdelbar, Suzan Abdelshahid:
Swarm optimization with instinct-driven particles. 777-782 - D. Tsou, Cara MacNish:
Adaptive particle swarm optimisation for high-dimensional highly convex search spaces. 783-789 - Rasmus K. Ursem, Pierré Vadstrup:
Parameter identification of induction motors using differential evolution. 790-796 - Ioannis A. Sarafis, Philip W. Trinder, Ali M. S. Zalzala:
Towards effective subspace clustering with an evolutionary algorithm. 797-806 - William B. Langdon, S. J. Barrett, Bernard F. Buxton:
Predicting biochemical interactions - human P450 2D6 enzyme inhibition. 807-814 - L. Augusto Sanabria, Ben Soh, Tharam S. Dillon, L. Chang:
Genetic algorithms in stochastic optimisation. 815-822 - Emilio Miguelañez Martín, Ali M. S. Zalzala, Paul Tabor:
DIWA: device independent wafermap analysis. 823-829 - John R. Woodward:
Evolving Turing Complete representations. 830-837 - Anthony M. L. Liekens, Huub M. M. ten Eikelder, Peter A. J. Hilbers:
Finite population models of dynamic optimization with stochastically alternating fitness functions. 838-845 - Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic properties. 846-853 - Christine L. Mumford:
Comparing representations and recombination operators for the multi-objective 0/1 knapsack problem. 854-861 - Feng Xue, Arthur C. Sanderson, Robert J. Graves:
Pareto-based multi-objective differential evolution. 862-869 - Xiaolin Hu, Zhangcan Huang, Zhongfan Wang:
Hybridization of the multi-objective evolutionary algorithms and the gradient-based algorithms. 870-877 - Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff:
A critical survey of performance indices for multi-objective optimisation. 878-885 - Yuya Sasaki, Hugo de Garis:
Faster evolution and evolvability control of genetic algorithms using a Softmax Mutation method. 886-891 - Simon P. Hammond:
Putting the user in the loop: on-line user adaption of genetic algorithms. 892-897 - Sanyou Zeng, Lixin Ding, Yuping Chen, Lishan Kang:
A new multiobjective evolutionary algorithm: OMOEA. 898-905 - Tao Xie, Lishan Kang:
An evolutionary algorithm for magic squares. 906-913