Evolutionary and Swarm Intelligence Algorithms

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 o...

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Corporate Author: SpringerLink (Online service)
Other Authors: Bansal, Jagdish Chand (Editor), Singh, Pramod Kumar (Editor), Pal, Nikhil R. (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Series:Studies in Computational Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Summary: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
Physical Description:X, 190 p. 57 illus., 21 illus. in color online resource
ISBN:9783319913414