In recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments. This paper presents a new PSO model, called PSO with c...
The success of evolutionary algorithms (EAs) depends crucially on ļ¬nding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ļ¬...
In recent years, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are t...
Abstract. This paper introduces a modiļ¬ed PSO, Non-dominated Sorting Particle Swarm Optimizer (NSPSO), for better multiobjective optimization. NSPSO extends the basic form of PSO...