Recent Advances in Simulated Evolution and Learning (Advances in Natural Computation) by Kay Chen Tan (PDF)

Description

Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems.This book has been selected for coverage in: – Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)- CC Proceedings — Engineering & Physical Sciences

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Editorial Reviews: Review .,.” covers a broad range of evolutionary computation topics in sufficient depth to be useful to both researchers and practitioners …”

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