Evolutionary and Swarm Intelligence Algorithms: 779 (Studies in Computational Intelligence) - Tapa dura

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9783319913391: Evolutionary and Swarm Intelligence Algorithms: 779 (Studies in Computational Intelligence)

Sinopsis

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.

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De la contraportada

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.

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Otras ediciones populares con el mismo título

9783030082291: Evolutionary and Swarm Intelligence Algorithms: 779 (Studies in Computational Intelligence)

Edición Destacada

ISBN 10:  3030082296 ISBN 13:  9783030082291
Editorial: Springer, 2019
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