1. SEAL 1996: Taejon, Korea

@proceedings{DBLP:conf/seal/1996,
  editor    = {Xin Yao and
               Jong-Hwan Kim and
               Takeshi Furuhashi},
  title     = {Simulated Evolution and Learning, First Asia-Pacific Conference,
               SEAL'96, Taejon, Korea, November 9-12, 1996, Selected Papers},
  booktitle = {SEAL},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1285},
  year      = {1997},
  isbn      = {3-540-63399-5},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

• John L. Casti:
  Emergent Phenomena and Computer Worlds. 1-10
  
• Lawrence J. Fogel:
  Top-Down Evolutionary Engineering. 11-16
  
• Chan-Jin Chung, Robert G. Reynolds:
  Function Optimization Using Evolutionary Programming with Self-Adaptive Cultural Algorithms. 17-26
  
• Zhengjun Pan, Lishan Kang:
  An Adaptive Evolutionary Algorithm for Numerical Optimization. 27-34
  
• Hyun Myung, Jong-Hwan Kim:
  Lagrangian-Based Evolutionary Programming for Constrained Optimization. 35-44
  
• Seiichi Matsushita, Takeshi Furuhashi, Hiroaki Tsutsui, Yoshiki Uchikawa:
  Selection of Input Variables of Fuzzy Model Using Genetic Algorithm with Quick Fuzzy Inference. 45-53
  
• Chang-Yong Lee, Seung Kee Han:
  Entropic Sampling in Genetic-Entropic Algorithm. 54-62
  
• Jong-Chen Chen:
  Computational and Learning Synergies with a Coevolving Multilevel Architecture. 63-72
  
• Simon E. Raik, David G. Browne:
  Evolving State and Memory in Genetic Programming. 73-80
  
• Zensho Nakao, Midori Takashibu, Yen-Wei Chen:
  Evolutionary CT Image Reconstruction by Image Partitioning. 81-88
  
• Russel J. Stonier, David Sturgess:
  Genetic Learning of the Irrigation Cycle for Water Flow in Cropped Soils. 89-96
  
• Won-Kyung Song, Zeungnam Bien:
  Optimization of Parameters of Color Image Segmentation Using Evolutionary Programming. 97-105
  
• Yasuhiro Tsujimura, Mitsuo Gen:
  Genetic Algorithms for Solving Multiprocessor Scheduling Problems. 106-115
  
• Qiangfu Zhao:
  A Study on Co-evolutionary Learning of Neural Networks. 116-125
  
• Tomohiro Yoshikawa, Takeshi Furuhashi, Yoshiki Uchikawa:
  Knowledge Acquisition of Fuzzy Control Rules for Mobile Robots Using DNA Coding Method and Pseudo-Bacterial GA. 126-135
  
• Min Woong Hwang, Jin-Young Choi:
  Evolutionary Learning Algorithm for Projection Neural Networks. 136-145
  
• Xin Yao, Yong Liu:
  EPNet for Chaotic Time-Series Prediction. 146-156
  
• Shu-Heng Chen:
  Would and Should Government Lie About Economic Statistics: Simulations Based on Evolutionary Cellular Automata. 157-166
  
• Kit Po Wong, An Li:
  A Technique for Improving the Convergence Characteristic of Genetic Algorithms and Its Application to a Genetic-Based Load Flow Algorithm. 167-176
  
• Yuji Makita, Masafumi Hagiwara:
  Knowledge Extraction Using Neural Network by an Artificial Life Approach. 177-186
  
• Ichiro Takeuchi, Takeshi Furuhashi:
  An Inference Method Using Multiple Patterns and Modification of Pattern Space. 187-195
  
• Rhee Man Kil, Yoonseon Song:
  Random Search Based on Genetic Operators. 196-205
  
• Sung-Bae Cho, Seung-Ik Lee:
  Hybrid Evolutionary Learning of Fuzzy Logic and Genetic Algorithm. 206-215
  
• Jee-Hyong Lee, Hyung Lee-Kwang:
  Fuzzy Identification of Unknown Systems Based on GA. 216-223
  
• Moeko Nerome, Koji Yamada, Satoshi Endo, Hayao Miyagi:
  Competitive Co-evolution Model on the Acquisition of Game Strategy. 224-231
  

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