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RECENT ADVANCES IN SIMULATED EVOLUTION AND LEARNING (Advances in Natural Computation)

Unknown Author
4.9/5 (15116 ratings)
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 - Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)- CC Proceedings -- Engineering & Physical SciencesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with RECENT ADVANCES IN SIMULATED EVOLUTION AND LEARNING (Advances in Natural Computation). To get started finding RECENT ADVANCES IN SIMULATED EVOLUTION AND LEARNING (Advances in Natural Computation), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
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ISBN
9812389520

RECENT ADVANCES IN SIMULATED EVOLUTION AND LEARNING (Advances in Natural Computation)

Unknown Author
4.4/5 (1290744 ratings)
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 - Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)- CC Proceedings -- Engineering & Physical SciencesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with RECENT ADVANCES IN SIMULATED EVOLUTION AND LEARNING (Advances in Natural Computation). To get started finding RECENT ADVANCES IN SIMULATED EVOLUTION AND LEARNING (Advances in Natural Computation), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
9812389520
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