Recent Advances In Simulated Evolution And Learning

Author:   Kay Chen Tan (Nus, S'pore) ,  Meng Hiot Lim (Ntu, S'pore) ,  Xin Yao (Univ Of Birmingham, Uk) ,  Lipo Wang (Ntu, S'pore)
Publisher:   World Scientific Publishing Co Pte Ltd
Volume:   2
ISBN:  

9789812389527


Pages:   832
Publication Date:   27 August 2004
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Recent Advances In Simulated Evolution And Learning


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Overview

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.

Full Product Details

Author:   Kay Chen Tan (Nus, S'pore) ,  Meng Hiot Lim (Ntu, S'pore) ,  Xin Yao (Univ Of Birmingham, Uk) ,  Lipo Wang (Ntu, S'pore)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Volume:   2
Dimensions:   Width: 15.60cm , Height: 4.70cm , Length: 23.30cm
Weight:   1.297kg
ISBN:  

9789812389527


ISBN 10:   9812389520
Pages:   832
Publication Date:   27 August 2004
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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".,."" covers a broad range of evolutionary computation topics in sufficient depth to be useful to both researchers and practitioners ..."""


.,. covers a broad range of evolutionary computation topics in sufficient depth to be useful to both researchers and practitioners ...


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