Description: This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm. It also discusses several research problems at different levels of sophistication that can be attempted by interested researchers. The generality of the GSO algorithm is evident in its application to diverse problems ranging from optimization to robotics. Examples include computation of multiple optima, annual crop planning, cooperative exploration, distributed search, multiple source localization, contaminant boundary mapping, wireless sensor networks, clustering, knapsack, numerical integration, solving fixed point equations, solving systems of nonlinear equations, and engineering design optimization. The book is a valuable resource for researchers as well as graduate and undergraduate students in the area of swarm intelligence and computational intelligence and working on these topics.
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EAN: 9783319515946
UPC: 9783319515946
ISBN: 9783319515946
MPN: N/A
Book Title: Glowworm Swarm Optimization: Theory, Algorithms, a
Item Length: 23.4 cm
Number of Pages: 248 Pages
Language: English
Publication Name: Glowworm Swarm Optimization: Theory, Algorithms, and Applications
Publisher: Springer International Publishing A&G
Publication Year: 2017
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 5384 g
Type: Textbook
Author: Debasish Ghose, Krishnanand N. Kaipa
Series: Studies in Computational Intelligence
Item Width: 155 mm
Format: Hardcover
