The interaction among particles is a vital aspect of Particle Swarm Optimization. As such, it has a strong influence on the swarm’s success. In this study various approaches re...
—Controlling particle swarm optimization is typically an unintuitive task, involving a process of adjusting low-level parameters of the system that often do not have obvious corr...
Many areas in power systems require solving one or more nonlinear optimization problems. While analytical methods might suffer from slow convergence and the curse of dimensionality...
Y. del Valle, Ganesh K. Venayagamoorthy, Salman Mo...
Abstract- Particle Swarm Optimization (PSO) has successfully been applied to many optimization problems. One particularly interesting aspect of these algorithms is to study the com...
Two new variants of Particle Swarm Optimization (PSO) called AMPSO1 and AMPSO2 are proposed for global optimization problems. Both the algorithms use adaptive mutation using Beta ...