单峰函数最优化问题的进化策略

In this paper, a new evolutionary strategy is proposed for minimizing uni- modal functions. Main characteristic of the strategy is that the classical mutation operator-Gaussian distribution is substituted by an uniform distribution. Theoretical analysis and numerical experiments indicate that convergence rate of the new strategy is superior to the classical one in most cases. Criteria of adoption of parent population and verification of step-length are also studied, and computa- tional efficiency of evolutionary strategies, in which crossover operator is employed or unemployed, is compared.