A new crossover operator in Differential Evolution for numerical optimization

D. Tayal, C. Gupta, A. Jain
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引用次数: 1

Abstract

The first pioneering study on Evolutionary Computation was studied by Holland (1975). Since the inception of Evolutionary Computation, researchers are constantly focusing on developing new methodologies, techniques, operators etc. for better convergence of the evolutionary algorithms. In the present paper, we propose a new crossover operator in Differential Evolution (DE) which has an effective convergence and enhances the efficiency of the optimization strategy, used for numerical data.
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一种新的用于数值优化的微分进化交叉算子
第一个关于进化计算的开创性研究是由Holland(1975)进行的。自进化计算诞生以来,研究人员一直致力于开发新的方法、技术、算子等,以使进化算法更好地收敛。在本文中,我们提出了一种新的交叉算子差分进化(DE)具有有效的收敛性和提高优化策略的效率,用于数值数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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