Glowworm swarm optimization. Theory, algorithms, and applications. (English) Zbl 1355.68003

Kaipa, Krishnanand N.; Ghose, Debasish

Studies in Computational Intelligence 698. Cham: Springer (ISBN 978-3-319-51594-6/hbk; 978-3-319-51595-3/ebook). xxvi, 248 p. (2017).

Publisher’s 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.

MSC:

68-02	Research exposition (monographs, survey articles) pertaining to computer science
68T20	Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.)
68W05	Nonnumerical algorithms
90C59	Approximation methods and heuristics in mathematical programming

Software:

Matlab; GSO