【摘要】 蚁群算法中的关键参数α、β、γ、ρ对算法的求解效率和求解质量有重要的影响。本文利用遗传算法在参数寻优方面的优越性,在蚁群算法运行的同时利用遗传算法去优化关键参数α、β、γ、ρ,提出了求解VRPSTW问题的参数优化蚁群算法,实例证明效果好。更多还原

【Abstract】 Key parameters-α、β、γ、ρof ACO have great impact on the efficiency and quality of Algorithm.Using the superiority of genetic algorithm in parameter optimization,this paper uses the Genetic Algorithm to optimize the key parameters-α、β、γ、ρwhen running ant colony optimization.In this case,the method of Ant Colony Algorithm Parameters Optimization to solve VRPSTW has been put forward in this paper.Examples have proved it’s good effect.更多还原