Locating and tracking multiple dynamic optima by a particle swarm model using speciation

• Published in: IEEE transactions on evolutionary computation Vol. 10; no. 4; pp. 440 - 458
• Main Authors: Parrott, D., Xiaodong Li
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2006; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Australia; Computer science; Dynamics; Feedback; Information technology; Iterative methods; Mathematical analysis; Multimodal optimization; Optimization; optimization in dynamic environments; particle swam optimization (PSO); Particle swarm optimization; Particle tracking; Seeds; Shape; Similarity; Speciation; Studies; Tracking; tracking optima in dynamic environments

This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighborhood best values for solving multimodal optimization problems and for tracking multiple optima in a dynamic environment. In the proposed species-based particle swam optimization (SPSO), the...