Buch, Englisch, 238 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 382 g
First Asia-Pacific Conference, SEAL'96, Taejon, Korea, November 9-12, 1996. Selected Papers.
Buch, Englisch, 238 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 382 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-540-63399-0
Verlag: Springer Berlin Heidelberg
The 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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.
