Recent Advances In Simulated Evolution And Learning PDF
Edited by Tan Kay Chen Tan, Lim Meng Hiot Lim, Yao Xin Yao, Wang Lipo Wang
Part of the Advances In Natural Computation series
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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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Download Now
- Format:PDF
- Pages:832 pages
- Publisher:World Scientific Publishing Company
- Publication Date:26/08/2004
- Category:
- ISBN:9789814482066
Information
-
Download Now
- Format:PDF
- Pages:832 pages
- Publisher:World Scientific Publishing Company
- Publication Date:26/08/2004
- Category:
- ISBN:9789814482066