【摘要】 基于模拟退火的自适应差分演化算法。通过模拟退火的更新策略来增强全局搜索能力,并提出了新的自适应技术来选择学习策略、确定算法的关键参数。数值实验及与同类算法的比较研究表明了该算法的有效性和优越性。更多还原

【Abstract】 According to the analysis for the two faults,this paper proposes a novel algorithm:self-adaptive differential evolution algorithm based on simulated annealing.With the aid of simulated annealing strategy,the proposed algorithm is able to improve the global search ability of conventional differential evolution algorithm.In the proposed algorithm,the choice of learning strategy and several critical control parameters are not required to be pre-specified.During evolution,the suitable learning strategy and parameters setting are gradually self-adapted according to the learning experience.Numerical experiments and comparative research expose the proposed algorithm as a competitive algorithm for the global optimization.更多还原