Glowworm Swarm Optimization: Theory, Algorithms, and Applications
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. [From the back cover]
Springer International Publishin
Artificial Intelligence and Robotics | Systems Engineering and Multidisciplinary Design Optimization | Theory and Algorithms
Kaipa, Krishnanand N. and Ghose, Debasish, "Glowworm Swarm Optimization: Theory, Algorithms, and Applications" (2017). Mechanical & Aerospace Engineering Faculty Books. 2.