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Title: An Heterogeneous Particle Swarm Optimizer With Predator and Scout Particles
Authors: Silva, Arlindo
Neves, Ana
Gonçalves, Teresa
Editors: Kamel, Mohamed
Karray, Fakhri
Hagras, Hani
Keywords: swarm intelligence
particle swarm optimization
heterogeneous particle swarms
Issue Date: Jun-2012
Publisher: Springer-verlag
Citation: A. Silva, A. Neves, and T. Gonçalves. An heterogeneous particle swarm optimizer with predator and scout particles. In Mohamed Kamel, Fakhri Karray, and Hani Hagras, editors, AIS’2012, International Conference on Autonomous and Intelligent Systems, volume 7326 of Lecture Notes in Arti- ficial Intelligence, pages 200–208, Aveiro, PT, June 2012. Springer-Verlag.
Abstract: Wepresentanewheterogeneousparticleswarmoptimization algorithm, called scouting predator-prey optimizer. The algorithm uses the interactions of the swarm with a predator particle to control the bal- ance between exploration and exploitation. Scout particles are proposed as a straightforward way of introducing new exploratory behaviors into the swarm. These can range from new heuristics that globally improve the algorithm to modifications based on problem specific knowledge. The scouting predator-prey optimizer is compared with several variations of both particle swarm and differential evolution algorithms, using a a set of benchmark functions selected to present the algorithms with different obstacles and difficulties. The experimental results suggest the new opti- mizer can outperform the other approaches over most of the benchmark problems.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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