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.
Lecture Notes in Computer Science 1585 Springer 1999, ISBN 3-540-65907-2 BibTeX
- Hans-Paul Schwefel:
Natural Computation (Abstract).
1
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- Hyun Myung, Jong-Hwan Kim:
Multiple Lagrange Multiplier Method for Constrained Evolutionary Optimization.
2-9
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- Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda:
Robust Evolution Strategies.
10-17
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- Vladimir Estivill-Castro, Rodolfo Torres-Velázquez:
Hybrid Genetic Algorithm for Solving the p-Median Problem.
19-25
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- Binh Pham, Zhongwei Zhang:
Correction of Reflection Lines Using Genetic Algorithms.
26-33
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- Takahiro Sasaki, Mario Tokoro:
Adaptation under Changing Environments with Various Rates of Inheritance of Acquired Characters: Comparison between Darwinian and Lamarckian Evolution.
34-41
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- Ko-Hsin Liang, Xin Yao, Charles S. Newton:
Dynamic Control of Adaptive Parameters in Evolutionary Programming.
42-49
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- Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano:
Information Operator Scheduling by Genetic Algorithms.
50-57
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- Pedro M. S. Carvalho, Luis A. F. M. Ferreira, Luis M. F. Barruncho:
Solving Radial Topology Constrained Problems with Evolutionary Algorithms.
58-65
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- Edmund K. Burke, D. B. Varley:
Automating Space Allocation in Higher Education.
66-73
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- Hongxing He, Warwick Graco, Xin Yao:
Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection.
74-81
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- Hisao Ishibuchi, Tomoharu Nakashima:
Evolution of Reference Sets in Nearest Neighbor Classification.
82-89
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- Michael Kirley, Xiaodong Li, David G. Green:
Investigation of a Cellular Genetic Algorithm that Mimics Landscape Ecology.
90-97
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- Ralf Garionis:
Quantifying Neighborhood Preservation: Joint Properties of Evolutionary and Unsupervised Neural Learning.
98-105
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- Martin Mandischer, Hannes Geyer, Peter Ulbig:
Neural Networks and Evolutionary Algorithms for the Prediction of Thermodynamic Properties for Chemical Engineering.
106-113
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- Reid B. Porter, Neil W. Bergmann:
Evolving FPGA Based Cellular Automata.
114-121
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- Hirosuke Horii, Susumu Kunifuji, Teruo Matsuzawa:
Asynchronous Island Parallel GA Using Multiform Subpopulations.
122-129
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- L. A. Anbarasu, P. Narayanasamy, V. Sundararajan:
Multiple Sequence Alignment Using Parallel Genetic Algorithms.
130-137
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- Philip G. K. Reiser, Patricia J. Riddle:
Evolving Logic Programs to Classify Chess-Endgame Positions.
138-145
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- Byoung-Tak Zhang, Dong-Yeon Cho:
Genetic Programming with Active Data Selection.
146-153
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- Yong-Jae Kim, Dong-Han Kim, Jong-Hwan Kim:
Evolutionary Programming-Based Uni-vector Field Method for Fast Mobile Robot Navigation.
154-161
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- Masayuki Ishinishi, Akira Namatame:
Evolution with Learning Adaptive Functions.
162-170
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- Dean W. Podlich, Mark Cooper:
Modelling Plant Breeding Programs as Search Strategies on a Complex Response Surface.
171-178
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- Hiroaki Shimooka, Yoshiji Fujimoto:
Generating Equations with Genetic Programming for Control of a Movable Inverted Pendulum.
179-186
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- Edmund K. Burke, Patrick De Causmaecker, Greet Vanden Berghe:
A Hybrid Tabu Search Algorithm for the Nurse Rostering Problem.
187-194
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- Richard S. Sutton:
Reinforcement Learning: Past, Present and Future.
195-197
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- Hiroshi Kawakami, Osamu Katai, Tadataka Konishi:
A Reinforcement Learning with Condition Reduced Fuzz Rules.
198-205
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- Kanta Tachibana, Takeshi Furuhashi:
Generality and Conciseness of Submodels in Hierarchical Fuzzy Modeling.
206-214
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- V. William Porto:
Using Evolutionary Programming to Optimize the Allocation of Surveillance Assets.
215-222
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- Naoki Kaise, Yoshiji Fujimoto:
Applying the Evolutionary Neural Networks with Genetic Algorithms to Control a Rolling Inverted Pendulum.
223-230
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- Takayuki Fujinaga, Kousuke Moriwaki, Nobuhiro Inuzuka, Hidenori Itoh:
Evolving Cooperative Actions Among Heterogeneous Agents by an Evolutionary Programming Method.
231-239
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- Toru Yamaguchi, Makoto Sato, Tomohiro Takagi, Hideki Hashimoto:
Cooperative Works for Welfare Agent Robot and Human Using Chaotic Evolutionary Computation.
240-250
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- Naoki Kohata, Makoto Sato, Toru Yamaguchi, Takanobu Baba, Hideki Hashimoto:
Evolutionary Computation for Intelligent Agents Based on Chaotic Retrieval and Soft DNA.
251-259
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- Keiko Aoki, Kazunori Matsumoto, Keiichiro Hoashi, Kazuo Hashimoto:
A Study of Bayesian Clustering of a Document Set Based on GA.
260-267
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- Phil Husbands, Pedro Paulo Balbi de Oliveira:
An Evolutionary Approach in Quantitative Spectroscopy.
268-275
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- Yasuhiro Tsujimura, Mitsuo Gen:
Evolutionary Recognition of Features from CAD Data.
276-284
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- Stefan J. Johansson, Bengt Carlsson, Magnus Boman:
Modeling Strategies as Generous and Greedy in Prisoner's Dilemma like Games.
285-292
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- Shu-Heng Chen, Chih-Chi Ni:
Using Genetic Algorithms to Simulate the Evolution of an Oligopoly Game.
293-300
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- Yeon-Gyu Seo, Sung-Bae Cho:
An Evolutionary Study on Cooperation in N-person Iterated Prisoner's Dilemma Game.
301-308
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- Atsushi Iwasaki, Sobei H. Oda, Kanji Ueda:
Simulating a N-person Multi-stage Game for Making a State.
309-316
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- Kimiko Tanaka, Manabu Nii, Hisao Ishibuchi:
Learning from Linguistic Rules and Rule Extraction for Function Approximation by Neural Networks.
317-324
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- Akira Imada, Keijiro Araki:
Can a Niching Method Locate Multiple Attractors Embedded in the Hopfield Network?
325-332
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- Yong Liu, Xin Yao:
Time Series Prediction by Using Negatively Correlated Neural Networks.
333-340
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- An Li, Kit Po Wong:
Animating the Evolution Process of Genetic Algorithms.
341-348
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- Tatsuya Niwa, Masaru Tanaka:
Analysis on the Island Model Parallel Genetic Algorithms for the Genetic Drifts.
349-356
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- Bradley Tonkes, Alan D. Blair, Janet Wiles:
A Paradox of Neural Encoders and Decoders or Why Don't We Talk Backwards?
357-364
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- 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
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- Ricardo Salem Zebulum, Marco Aurélio Cavalcanti Pacheco, Marley B. R. Vellasco:
Evolutionary Systems Applied to the Synthesis of a CPU Controller.
373-380
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- John S. Gero:
Novel Models in Evolutionary Designing.
381-388
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- Alan D. Blair, Elizabeth Sklar, Pablo Funes:
Co-evolution, Determinism and Robustness.
389-396
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- Jennifer Hallinan, Paul T. Jackway:
Co-operative Evolution of a Neural Classifier and Feature Subset.
397-404
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- Kit Po Wong, Jason Yuryevich:
Optimal Power Flow Method Using Evolutionary Programming.
405-412
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- Sung-Bae Cho, Katsunori Shimohara:
Grammatical Development of Evolutionary Modular Neural Networks.
413-420
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- Mitsuo Gen, Kenichi Ida, Chang-Yun Lee:
Hybridized Neural Network and Genetic Algorithms for Solving Nonlinear Integer Programming Problem.
421-429
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- Thomas Philip Runarsson, Magnus Thor Jonsson:
Evolution of Gene Coordination Networks.
430-437
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- Richard Hall, Binh Pham, John Yearwood:
Adaptive Simulation: An Implementation Framework.
438-445
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- Yoshida Akira:
A Model of Mutual Associative Memory for Simulations of Evolution and Learning.
446-453
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- 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
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- 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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Copyright © Sat May 16 23:37:16 2009
by Michael Ley (ley@uni-trier.de)
