Description: Evolutionary and Swarm Intelligence Algorithms Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Jagdish Chand Bansal, Pramod Kumar Singh, Nikhil R. Pal Format: Paperback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030082291, 978-3030082291 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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Book Title: Evolutionary and Swarm Intelligence Algorithms
Number of Pages: 190 Pages
Publication Name: Evolutionary and Swarm Intelligence Algorithms
Language: English
Publisher: Springer Nature Switzerland A&G
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2019
Type: Textbook
Item Weight: 314 g
Author: Jagdish Chand Bansal, Nikhil R. Pal, Pramod Kumar Singh
Item Width: 155 mm
Series: Studies in Computational Intelligence
Format: Paperback