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

Authors:

Lifang Xu,

Shouda Jiang,

Hongwei MoAuthors Info & Claims

ICSI'11: Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I

Pages 400 - 407

Published: 12 June 2011 Publication History

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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.

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Published In

ICSI'11: Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I

June 2011

634 pages

ISBN:9783642215148

Editors:
Ying Tan
Peking University, Department of Machine Intelligence, Beijing, China
,
Yuhui Shi
Xi'an Jiaotong-Liverpool University, Department of Electrical and Electronic Engineering, Suzhou, China
,
Yi Chai
Chongqing University, Chongqing, China
,
Guoyin Wang
Chongqing University of Posts and Telecommunications, Chongqing, China

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Springer-Verlag

Berlin, Heidelberg

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Published: 12 June 2011

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Variations of biogeography-based optimization and Markov analysis

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Variations of biogeography-based optimization and Markov analysis

Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO)

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