作者: Marco Mussetta , Paola Pirinoli , Stefano Selleri , Riccardo E. Zich
DOI: 10.1007/978-3-642-05165-4_6
关键词: Derivative-free optimization 、 Multi-swarm optimization 、 Vector optimization 、 Meta-optimization 、 Computer science 、 Particle swarm optimization 、 Continuous optimization 、 Multi-objective optimization 、 Metaheuristic 、 Mathematical optimization
摘要: Recently, the Particle Swarm Optimization (PSO) method has been successfully applied to many different electromagnetic optimization problems. Due complex equations, usually calling for a numerical solution, associated cost function is in general very computationally expensive. A fast convergence of algorithm hence paramount importance attain results an acceptable time.