Evolutionary and Swarm Intelligence Algorithms

✍ Scribed by Jagdish Chand Bansal; Pramod Kumar Singh; Nikhil R. Pal

Publisher: Springer
Year: 2018
Tongue: English
Leaves: 190
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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