Evolutionary and Swarm Intelligence Algorithms (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 779
Release date:	June 2018
First published:	2019
Editors:	Jagdish Chand Bansal • Pramod Kumar Singh • Nikhil R. Pal
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	190
Edition:	1st ed. 2019
ISBN-13:	978-3-319-91339-1
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN:	3-319-91339-5
Barcode:	9783319913391

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