Journal of East China Normal University(Natural Science) >

2017 >Issue 3: 78 - 86

DOI: https://doi.org/10.3969/j.issn.1000-5641.2017.03.008

Computer Science

Adaptive grouping difference variation wolf pack algorithm

  • ZHANG Qiang ,
  • WANG Mei
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  • School of Computer and Information Technology, Northeast Petroleum University, Daqing Heilongjiang 163318, China

Received date: 2016-05-13

  Online published: 2017-05-18

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Abstract

Due to the shortcomings that wolf pack algorithm is not high solving precision and easy to fall into the local convergence region, adaptive grouping difference variation wolf pack algorithm is proposed based on the excellent characteristics of cloud model transformation between qualitative and quantitative. Individual wolves are initialized by good-point set. Individual hunting behavior is accomplished through the cloud model theory and the self energy of the wolf is considered in the siege behavior. Finally, the differential evolution algorithm and the chaos theory are used to complete the individual variation to explore the global optimal location. The simulation results show that the proposed algorithm has fine capability of finding global optimum, especially for multi peak function.

Key words： wolf pack algorithm; good-point set; differential variation; chaos

Cite this article

ZHANG Qiang , WANG Mei . Adaptive grouping difference variation wolf pack algorithm[J]. Journal of East China Normal University(Natural Science), 2017 , (3) : 78 -86 . DOI: 10.3969/j.issn.1000-5641.2017.03.008

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