基于指数分布的进化策略

典型的进化策略受自然进化过程的启发而成为求解全局优化问题的重要方法。传统的ES变异算子作为一个主要的进化技术是建立在正态分布的随机变量基础上的，本文提出了基于指数分布的进化策略由于采用了新的变异算子有效地减少了产生探试解的成本，从而优于传统的进化策略。

Exponential distribution based evolutionary strategies for global optimization problems

The canonical evolutionary strategy is a global optimization problem solver, which gets inspirations from natural evolutionary processes. As a major technique of evolution, the mutation operator of the classical ES is based on the normal distribution random variable. It is shown in this paper that exponential distributin based evolutionary strategy is superior to the classic one in most cases due to that the new operator can efficiently reduce the cost of the trial solution generation compared with the traditional one.