{"product_id":"9783540633990","title":"Simulated Evolution and Learning : First Asia-Pacific Conference, Seal '96 Taejon, Korea, November 9-12, 1996 : Selected Papers (Lecture Notes in Comp","description":"\u003cp\u003eThis book constitutes the thoroughly refereed post-conference documentation of the First Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'96, held in Taejon, Korea, in November 1996.\n\u003cbr\u003eThe 23 revised full papers were selected for inclusion in this book on the basis of 2 rounds of reviewing and improvements. Also included are invited papers by John L. Casti and Lawrence J. Fogel. The volume covers a wide range of current topics in simulated evolution and learning e.g. evolutionary optimization, evolutionary learning, artificial life, hybrid evolutionary fuzzy systems, evolutionary artificial neural networks, co-evolution, novel evolutionary approaches to computer tomography image reconstruction, power systems load flow control, and water flow control in cropped soils. Emergent phenomena and computer worlds.- Top-down evolutionary engineering.- Function optimization using evolutionary programming with self-adaptive cultural algorithms.- An adaptive evolutionary algorithm for numerical optimization.- Lagrangian-based evolutionary programming for constrained optimization.- Selection of input variables of fuzzy model using genetic algorithm with quick fuzzy inference.- Entropic sampling in genetic-entropic algorithm.- Computational and learning synergies with a coevolving multilevel architecture.- Evolving state and memory in genetic programming.- Evolutionary CT image reconstruction by image partitioning.- Genetic learning of the irrigation cycle for water flow in cropped soils.- Optimization of parameters of color image segmentation using evolutionary programming.- Genetic algorithms for solving multiprocessor scheduling problems.- A study on co-evolutionary learning of neural networks.- Knowledge acquisition of fuzzy control rules for mobile robots using DNA coding method and pseudo-bacterial GA.- Evolutionary learning algorithm for projection neural networks.- EPNet for chaotic time-series prediction.- Would and should government lie about economic statistics: simulations based o evolutionary cellular automata.- A technique for improving the convergence characteristic of genetic algorithms and its application to a genetic-based load flow algorithm.- Knowledge extraction using neural network by an artificial life approach.- An inference method using multiple patterns and modification of pattern space.- Random search based on genetic operators.- Hybrid evolutionary learning of fuzzy logic and genetic algorithm.- Fuzzy identification of unknown systems based on GA.- Competitive co-evolution model on the acquisition of game strategy.\u003c\/p\u003e","brand":"Springer Verlag","offers":[{"title":"Default Title","offer_id":45484577783887,"sku":"00000_00000_00000_00000","price":1925.0,"currency_code":"TWD","in_stock":false}],"url":"https:\/\/kinokuniya.com.tw\/products\/9783540633990","provider":"Books Kinokuniya Taiwan","version":"1.0","type":"link"}