


default search action
2. SEAL 1998: Canberra, Australia
- Bob McKay

, Xin Yao, Charles S. Newton, Jong-Hwan Kim, Takeshi Furuhashi:
Simulated Evolution and Learning, Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98, Canberra, Australia, November 24-27 1998, Selected Papers. Lecture Notes in Computer Science 1585, Springer 1999, ISBN 3-540-65907-2 - Hans-Paul Schwefel:

Natural Computation (Abstract). 1 - Hyun Myung, Jong-Hwan Kim:

Multiple Lagrange Multiplier Method for Constrained Evolutionary Optimization. 2-9 - Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda:

Robust Evolution Strategies. 10-17 - Vladimir Estivill-Castro, Rodolfo Torres-Velázquez:

Hybrid Genetic Algorithm for Solving the p-Median Problem. 19-25 - Binh Pham, Zhongwei Zhang:

Correction of Reflection Lines Using Genetic Algorithms. 26-33 - Takahiro Sasaki, Mario Tokoro:

Adaptation under Changing Environments with Various Rates of Inheritance of Acquired Characters: Comparison between Darwinian and Lamarckian Evolution. 34-41 - Ko-Hsin Liang, Xin Yao, Charles S. Newton:

Dynamic Control of Adaptive Parameters in Evolutionary Programming. 42-49 - Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano:

Information Operator Scheduling by Genetic Algorithms. 50-57 - Pedro M. S. Carvalho, Luis A. F. M. Ferreira, Luis M. F. Barruncho:

Solving Radial Topology Constrained Problems with Evolutionary Algorithms. 58-65 - Edmund K. Burke, D. B. Varley:

Automating Space Allocation in Higher Education. 66-73 - Hongxing He, Warwick Graco, Xin Yao:

Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection. 74-81 - Hisao Ishibuchi, Tomoharu Nakashima

:
Evolution of Reference Sets in Nearest Neighbor Classification. 82-89 - Michael Kirley, Xiaodong Li, David G. Green:

Investigation of a Cellular Genetic Algorithm that Mimics Landscape Ecology. 90-97 - Ralf Garionis:

Quantifying Neighborhood Preservation: Joint Properties of Evolutionary and Unsupervised Neural Learning. 98-105 - Martin Mandischer, Hannes Geyer, Peter Ulbig:

Neural Networks and Evolutionary Algorithms for the Prediction of Thermodynamic Properties for Chemical Engineering. 106-113 - Reid B. Porter, Neil W. Bergmann:

Evolving FPGA Based Cellular Automata. 114-121 - Hirosuke Horii

, Susumu Kunifuji, Teruo Matsuzawa:
Asynchronous Island Parallel GA Using Multiform Subpopulations. 122-129 - L. A. Anbarasu, P. Narayanasamy, V. Sundararajan:

Multiple Sequence Alignment Using Parallel Genetic Algorithms. 130-137 - Philip G. K. Reiser, Patricia J. Riddle:

Evolving Logic Programs to Classify Chess-Endgame Positions. 138-145 - Byoung-Tak Zhang, Dong-Yeon Cho:

Genetic Programming with Active Data Selection. 146-153 - Yong-Jae Kim, Dong-Han Kim, Jong-Hwan Kim:

Evolutionary Programming-Based Uni-vector Field Method for Fast Mobile Robot Navigation. 154-161 - Masayuki Ishinishi, Akira Namatame:

Evolution with Learning Adaptive Functions. 162-170 - Dean W. Podlich, Mark Cooper:

Modelling Plant Breeding Programs as Search Strategies on a Complex Response Surface. 171-178 - Hiroaki Shimooka, Yoshiji Fujimoto:

Generating Equations with Genetic Programming for Control of a Movable Inverted Pendulum. 179-186 - Edmund K. Burke, Patrick De Causmaecker

, Greet Vanden Berghe:
A Hybrid Tabu Search Algorithm for the Nurse Rostering Problem. 187-194 - Richard S. Sutton:

Reinforcement Learning: Past, Present and Future. 195-197 - Hiroshi Kawakami, Osamu Katai, Tadataka Konishi:

A Reinforcement Learning with Condition Reduced Fuzz Rules. 198-205 - Kanta Tachibana, Takeshi Furuhashi:

Generality and Conciseness of Submodels in Hierarchical Fuzzy Modeling. 206-214 - V. William Porto:

Using Evolutionary Programming to Optimize the Allocation of Surveillance Assets. 215-222 - Naoki Kaise, Yoshiji Fujimoto:

Applying the Evolutionary Neural Networks with Genetic Algorithms to Control a Rolling Inverted Pendulum. 223-230 - Takayuki Fujinaga, Kousuke Moriwaki, Nobuhiro Inuzuka, Hidenori Itoh:

Evolving Cooperative Actions Among Heterogeneous Agents by an Evolutionary Programming Method. 231-239 - Toru Yamaguchi, Makoto Sato, Tomohiro Takagi, Hideki Hashimoto:

Cooperative Works for Welfare Agent Robot and Human Using Chaotic Evolutionary Computation. 240-250 - Naoki Kohata, Makoto Sato, Toru Yamaguchi, Takanobu Baba, Hideki Hashimoto:

Evolutionary Computation for Intelligent Agents Based on Chaotic Retrieval and Soft DNA. 251-259 - Keiko Aoki, Kazunori Matsumoto, Keiichiro Hoashi, Kazuo Hashimoto:

A Study of Bayesian Clustering of a Document Set Based on GA. 260-267 - Phil Husbands, Pedro Paulo Balbi de Oliveira

:
An Evolutionary Approach in Quantitative Spectroscopy. 268-275 - Yasuhiro Tsujimura, Mitsuo Gen:

Evolutionary Recognition of Features from CAD Data. 276-284 - Stefan J. Johansson, Bengt Carlsson, Magnus Boman:

Modeling Strategies as Generous and Greedy in Prisoner's Dilemma like Games. 285-292 - Shu-Heng Chen, Chih-Chi Ni:

Using Genetic Algorithms to Simulate the Evolution of an Oligopoly Game. 293-300 - Yeon-Gyu Seo, Sung-Bae Cho:

An Evolutionary Study on Cooperation in N-person Iterated Prisoner's Dilemma Game. 301-308 - Atsushi Iwasaki, Sobei H. Oda, Kanji Ueda:

Simulating a N-person Multi-stage Game for Making a State. 309-316 - Kimiko Tanaka, Manabu Nii, Hisao Ishibuchi:

Learning from Linguistic Rules and Rule Extraction for Function Approximation by Neural Networks. 317-324 - Akira Imada, Keijiro Araki:

Can a Niching Method Locate Multiple Attractors Embedded in the Hopfield Network? 325-332 - Yong Liu, Xin Yao:

Time Series Prediction by Using Negatively Correlated Neural Networks. 333-340 - An Li, Kit Po Wong:

Animating the Evolution Process of Genetic Algorithms. 341-348 - Tatsuya Niwa, Masaru Tanaka:

Analysis on the Island Model Parallel Genetic Algorithms for the Genetic Drifts. 349-356 - Bradley Tonkes, Alan D. Blair

, Janet Wiles
:
A Paradox of Neural Encoders and Decoders or Why Don't We Talk Backwards? 357-364 - Aleksandra B. Djurisic, Aleksandar D. Rakic, E. Herbert Li, Marijan L. Majewski, Nenad Bundaleski

, Bozidar V. Stanic:
Continuous Optimization Using Elite Genetic Algorithms With Adaptive Mutations. 365-372 - Ricardo Salem Zebulum, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:

Evolutionary Systems Applied to the Synthesis of a CPU Controller. 373-380 - John S. Gero:

Novel Models in Evolutionary Designing. 381-388 - Alan D. Blair

, Elizabeth Sklar, Pablo Funes:
Co-evolution, Determinism and Robustness. 389-396 - Jennifer Hallinan, Paul T. Jackway

:
Co-operative Evolution of a Neural Classifier and Feature Subset. 397-404 - Kit Po Wong, Jason Yuryevich:

Optimal Power Flow Method Using Evolutionary Programming. 405-412 - Sung-Bae Cho, Katsunori Shimohara:

Grammatical Development of Evolutionary Modular Neural Networks. 413-420 - Mitsuo Gen, Kenichi Ida, Chang-Yun Lee:

Hybridized Neural Network and Genetic Algorithms for Solving Nonlinear Integer Programming Problem. 421-429 - Thomas Philip Runarsson

, Magnus Thor Jonsson:
Evolution of Gene Coordination Networks. 430-437 - Richard Hall, Binh Pham, John Yearwood:

Adaptive Simulation: An Implementation Framework. 438-445 - Akira Yoshida:

A Model of Mutual Associative Memory for Simulations of Evolution and Learning. 446-453 - Sobei H. Oda, Kouhei Iyori, Miura Ken, Kanji Ueda:

The Application of Cellular Automata to the Consumer's Theory: Simulating a Duopolistic Market. 454-461 - Loi Lei Lai, Harsha Subasinghe, N. Rajkumar, E. Vaseekar, Bryan J. Gwyn, Vijay K. Sood:

Object-Oriented Genetic Algorithm Based Artificial Neural Network for Load Forecasting. 462-469

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














