Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 99-104.doi: 10.11896/j.issn.1002-137X.2017.6A.021

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Asynchronous Collaborative Chicken Swarm Optimization with Mutation Based on Cognitive Diversity

XIAO Liang and LIU Si-tong   

  • Online:2017-12-01 Published:2018-12-01

Abstract: The standard chicken swarm optimization is improved from the following three aspects:chick-update formula,optimization method and mutation based on cognitive diversity.Self-learning factor is added to chick-update formula.It is assumed that chicks learn from their own roosters respectively,and meanwhile the unknown space is explored.Asynchronous collaborative optimization strategy is adopted with inverted order to improve capacity of solving higher-dimensions problems.Self-cognitive diversity is taken full advantage to make sure the pbests mutate at a certain probability to lead the swarm to escape from the local optimum to converge to the global optimum.Benchmark function test indicates ICSO is better than other optimization algorithms.Model seismic data inversion shows strong global search ability,high precision and strong antinoise ability as well.

Key words: Swarm intelligence,CSO,Co-optimization,Impedance inversion

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