Introduces an improved variant of Darwinian PSO algorithm based on chaotic functions.
It replaces random sequences by chaotic sequences mitigating the problem of premature convergence.Efficiency of 10 defined chaotic maps are investigated and the best one was chosen.
引用格式
Suresh, Shilpa, and Shyam Lal. “Multilevel Thresholding Based on Chaotic Darwinian Particle Swarm Optimization for Segmentation of Satellite Images.” Applied Soft Computing, vol. 55, Elsevier BV, June 2017, pp. 503–22, doi:10.1016/j.asoc.2017.02.005.
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R2019a
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1.0.0 |