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Book Synopsis
This invaluable 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.

Evolutionary Robotics: From Algorithms To

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Order before 4pm tomorrow for delivery by Sat 27 Dec 2025.

A Paperback / softback by Ling-feng Wang, Kay Chen Tan, Chee-meng Chew

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    View other formats and editions of Evolutionary Robotics: From Algorithms To by Ling-feng Wang

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 17/07/2006
    ISBN13: 9789813203327, 978-9813203327
    ISBN10: 9813203323
    Also in:
    Automatic control engineering

    Description

    Book Synopsis
    This invaluable 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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