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 â Engineering & Physical Sciences
Kay Chen Tan & Meng Hiot Lim
Recent Advances In Simulated Evolution And Learning [PDF ebook]
Recent Advances In Simulated Evolution And Learning [PDF ebook]
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Ngôn ngữ Anh ● định dạng PDF ● Trang 832 ● ISBN 9789812561794 ● Kích thước tập tin 53.0 MB ● Biên tập viên Kay Chen Tan & Meng Hiot Lim ● Nhà xuất bản World Scientific Publishing Company ● Thành phố Singapore ● Quốc gia SG ● Được phát hành 2004 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 2445073 ● Sao chép bảo vệ Adobe DRM
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