The hybrid algorithm of biogeography based optimization and clone selection for sensors selection of aircraft

Authors:
Lifang Xu;Shouda Jiang;Hongwei Mo
Affiliations:
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China and Engineering Training Center, Harbin Engineering University, Harbin, China;Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China;Automation College, Harbin Engineering University, Harbin, China
Venue:
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Year:
2011

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Abstract

Biogeography-based optimization algorithm(BBO) is a new kind of optimization algorithm based on Biogeography. It mimics the migration strategy of animals to solve the problem of optimization. In this paper, the clone selection strategy is combined with biogeography for solving the problem of sensors selection of aircraft. It is compared with other classical nature inspired algorithms. The comparison results show that BBOCSA is an effective algorithm for optimization problem in practice. It provides a new method for this kind of problem.