Evolutionary and Swarm Intelligence Algorithms

Jagdish Chand Bansal

ISBN 10: 3319913395 / ISBN 13: 9783319913391

Published by Springer International Publishing, Springer Nature Switzerland, 2018

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783319913391

Bibliographic Details

• Title: Evolutionary and Swarm Intelligence Algorithms
• Publisher: Springer International Publishing, Springer Nature Switzerland
• Publication Date: 2018
• Language: English
• ISBN 10: 3319913395
• ISBN 13: 9783319913391
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 17D millimeters 241 millimeters width by 160 millimeters height by 17 millimeters depth
• Weight: 471 grams

About this title

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.