Using Bat Algorithm with Levy Walk to Solve Directing Orbits of Chaotic Systems

Abstract : Bat algorithm is a novel swarm intelligent version by simulating the bat seeking behavior. However, due to the poor exploitation, the performance is not well. Therefore, a new variant named bat algorithm with Gaussian walk is proposed in which the original uniform sample manner is replaced by one Gaussian sample. In this paper, we want to further investigate the performance with Levy sampling manner. To test its performance, three other variants of bat algorithms are employed to compare, simulation results show our modification is superior to other algorithms.
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Communication dans un congrès
Zhongzhi Shi; Zhaohui Wu; David Leake; Uli Sattler. 8th International Conference on Intelligent Information Processing (IIP), Oct 2014, Hangzhou, China. Springer, IFIP Advances in Information and Communication Technology, AICT-432, pp.11-19, 2014, Intelligent Information Processing VII. 〈10.1007/978-3-662-44980-6_2〉
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Soumis le : mardi 18 octobre 2016 - 14:52:05
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Xingjuan Cai, Lei Wang, Zhihua Cui, Qi Kang. Using Bat Algorithm with Levy Walk to Solve Directing Orbits of Chaotic Systems. Zhongzhi Shi; Zhaohui Wu; David Leake; Uli Sattler. 8th International Conference on Intelligent Information Processing (IIP), Oct 2014, Hangzhou, China. Springer, IFIP Advances in Information and Communication Technology, AICT-432, pp.11-19, 2014, Intelligent Information Processing VII. 〈10.1007/978-3-662-44980-6_2〉. 〈hal-01383311〉

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