摘要
随着物流事业的蓬勃发展,物流运输配送问题也不断增加。路径优化问题作为物流运输配送的基础研究问题也一直受到学者们的重视。单一的智能优化算法已经不适合解决大规模,复杂度高的路径优化问题。在现有的混合智能算法中,基于人工鱼群算法与蚁群算法混合的研究相对来说较少,因此该文对学者们提出的混合人工鱼群-蚁群算法进行综合研究分析,对现实中路径优化问题的求解有较大的理论意义与现实价值。
With the vigorous development of the logistics industry, logistics distribution problems are increasing too. As the basis oflogistics distribution, Path optimization problem have been brought to the attention of the scholars. A single intelligent optimizationalgorithm is not suitable for solving vehicle routing problems which of large-scale and high complexity. The research of VRP basedon AFSA-ACO is relatively less nowadays. So in this paper, the author will research and analyze these optimization algorithms.This can create great theoretical and practical value on solving the vehicle routing problem.
出处
《电脑知识与技术（过刊）》
2015年第4X期156-159,共4页
Computer Knowledge and Technology
