随机优化问题基于假设检验的遗传算法

为了有效解决具有不确定性和多极小性的随机优化问题 ,提出了一类基于假设检验的遗传算法 .该方法通过多次评价来进行解性能的合理估计 ,利用遗传操作来进行解空间的有效搜索 ,采用假设检验来增加种群的多样性和算法的探索能力 ,从而避免遗传算法的早熟收敛 .基于典型的随机函数优化和组合优化问题 ,仿真研究了假设检验、性能估计次数、噪声幅度对算法性能的影响 ,验证了所提方法的有效性和鲁棒性

Hypothesis-test based genetic algorithm for stochastic optimization problems

To effectively solve the stochastic optimization problems with (non-deterministic) (and) (multi-modal) (properties,)(a) (class) (of) (hypothesis-test) (based) (genetic) (algorithm) (is) (proposed.) (The) (algorithm) (performs) (reasonable) (estimation) (by) (multiple) (evaluations,)(searches) (the) (design) (space) (effectively) (via) (genetic) (operators,)(and) (enhances) (the) (searching) (ability) (and) (population) (diversity) (by) (hypothesis) (test) (to) (overcome) (premature) (convergence.) (Based) (on) (typical) (stochastic) (functional) (and) (combinatorial) (optimization) (problems,)(the) (effects) (of) (hypothesis) (test,)(performance) (estimation) (number) (and) (magnitude) (of) (noise) (on) (the) (performance) (of) (the) (approach) (are) (studied,)(and) (the) (effectiveness) (and) (robustness) (of) (the) (proposed) (approach) (are) demonstrated.