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Differential evolution utilizing a handful top superior individuals with bionic bi-population structure for the enhancement of optimization performance

机译:利用仿生双人群结构的仿制性卓越优越性的差分演变,用于提高优化性能

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摘要

In this paper, we propose a new DE variant incorporating a new mutation strategy and a bionic bi-population structure to enhance the overall performance of the canonical DE algorithm. As it is known to all that the guidance of a handful top superior elites is usually better than the guidance of only one elite in many cases, therefore, a handful top superior individuals are employed in the newly proposed mutation strategy for individual evolution. Moreover, hybridization of two populations of a certain species can improve the adaptation to the environment, and business and information exchanges between tribes can help their economical and technological development, so a bionic bi-population structure is also employed in the new DE variant for information exchanges. Both of the two aspects make the new algorithm achieve an overall better performance, and experiment results show that a handful top superior individuals with bionic bi-population structure has better performances on optimization accuracy, convergence speed and success rate under these tested benchmark functions especially those other algorithms may be trapped into local optima.
机译:在本文中,我们提出了一种掺入新的突变策略和仿生双群结构的新德变体,以提高规范DE算法的整体性能。众所周知,少数高级精英的指导通常比在许多情况下只有一个精英的指导,因此,在新提出的突变策略中使用少数顶级的优越个体进行个体演变。此外,两种群体的杂交可以改善对环境的适应,部落之间的业务和信息交流可以帮助他们的经济和技术发展,因此仿生双人口结构也用于新的De Variant供信息交流。两个方面的两个方面都使新算法实现了整体性能,实验结果表明,具有仿生双群结构的少数顶级优越个体在这些测试的基准功能下的优化精度,收敛速度和成功率更好地表现出更好的性能其他算法可以被捕获到本地最佳状态。

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