Glowworm Swarm Optimization: Theory, Algorithms, and Applications
Krishnanand N. Kaipa, Old Dominion University;
Debasish Ghose, Indian Institute of Science, Bangalore
Springer International Publishing, 2017
ISBN: 978-3-319-51594-6;
Language: English
Glowworm Swarm Optimization: Theory, Algorithms, and Applications 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. Most MATLAB code can be found in Appendix A. 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 for researchers as well as graduate and undergraduate students in the area of swarm intelligence and computational intelligence.
