9789812568700-9812568700-Evolutionary Robotics: From Algorithms to Implementations (World Scientific Series in Robotics and Intelligent Systems)

Evolutionary Robotics: From Algorithms to Implementations (World Scientific Series in Robotics and Intelligent Systems)

ISBN-13: 9789812568700
ISBN-10: 9812568700
Author: Kay Chen Tan, Lingfeng Wang, Chee Meng Chew
Publication date: 2006
Publisher: World Scientific Publishing Company
Format: Hardcover 268 pages
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Book details

ISBN-13: 9789812568700
ISBN-10: 9812568700
Author: Kay Chen Tan, Lingfeng Wang, Chee Meng Chew
Publication date: 2006
Publisher: World Scientific Publishing Company
Format: Hardcover 268 pages

Summary

Evolutionary Robotics: From Algorithms to Implementations (World Scientific Series in Robotics and Intelligent Systems) (ISBN-13: 9789812568700 and ISBN-10: 9812568700), written by authors Kay Chen Tan, Lingfeng Wang, Chee Meng Chew, was published by World Scientific Publishing Company in 2006. With an overall rating of 3.7 stars, it's a notable title among other books. You can easily purchase or rent Evolutionary Robotics: From Algorithms to Implementations (World Scientific Series in Robotics and Intelligent Systems) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.53.

Description

This book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques are applied to robotic system design. It embraces the most widely used evolutionary approaches with their merits and drawbacks, presents some related experiments for robotic behavior evolution and the results achieved, and shows promising future research directions. Clarity of explanation is emphasized such that a modest knowledge of basic evolutionary computation, digital circuits and engineering design will suffice for a thorough understanding of the material.
The book is ideally suited to computer scientists, practitioners and researchers keen on computational intelligence techniques, especially the evolutionary algorithms in autonomous robotics at both the hardware and software levels.

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