An adaptive tribe-particle swarm optimization

Authors:
Yong Duan Song;Lu Zhang;Peng Han
Affiliations:
Intelligent Systems and Renewable Energy Research Center, Beijing Jiaotong University;Intelligent Systems and Renewable Energy Research Center, Beijing Jiaotong University;Chongqing Institute of Science and Technology
Venue:
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Year:
2011

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Abstract

This paper talks about the problems in particle swarm optimization (PSO), including local optimum and difficulty in improving solution accuracy by fine tuning. We presents a new variation of Adaptive Tribe-PSO model where nonlinear updating of inertia weight and a particle's fitness with Tribe-PSO model are combined to improve the speed of convergence as well as fine tune the search in the multidimensional space. The method proved to be a powerful global optimization algorithm.