2. SEAL 1998: Canberra, Australia
Bob McKay, Xin Yao, Charles S. Newton, Jong-Hwan Kim, Takeshi Furuhashi (Eds.): Simulated Evolution and Learning, Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98, Canberra, Australia, November 24-27 1998, Selected Papers. Springer 1999 Lecture Notes in Computer Science 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
- Vladimir Estivill-Castro, Rodolfo Torres-Velázquez: Hybrid Genetic Algorithm for Solving the p-Median Problem. 19-25
- 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
- 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
- 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
- Yong-Jae Kim, Dong-Han Kim, Jong-Hwan Kim: Evolutionary Programming-Based Uni-vector Field Method for Fast Mobile Robot Navigation. 154-161
- 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
- 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
- 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 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
- Jennifer Hallinan, Paul T. Jackway: Co-operative Evolution of a Neural Classifier and Feature Subset. 397-404
- 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
- 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
- L. L. Lai, H. Subasinghe, N. Rajkumar, E. Vaseekar, B. J. Gwyn, V. K. Sood: Object-Oriented Genetic Algorithm Based Artificial Neural Network for Load Forecasting. 462-469
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