An Intelligent Water Drop Algorithm for Solving Multi-Objective Vehicle Routing Problems With Mixed Time Windows

Tao Wang, J. Ni, Yixuan Wang
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引用次数: 2

Abstract

This article proposes an Intelligent Water Drop Algorithm for solving Multi-Objective Vehicle Routing Problems by considering the constraints of vehicle volume, delivery mileage, and mixed time windows and minimizing the cost of distribution and the minimum number of vehicles. This article improves the basic Intelligent Water Drop Algorithm and show the improved intelligent water droplet genetic hybrid algorithm is an effective method for solving discrete problems. The authors present a practical example and show the applicability of the proposed algorithm. The authors compare the algorithms with the basic algorithm and show the improved intelligent droplet genetic hybrid algorithm has higher computing efficiency and continuous optimization capability.
求解混合时间窗多目标车辆路径问题的智能水滴算法
考虑车辆数量、交付里程和混合时间窗的约束,以最小化配送成本和最少车辆数量为目标,提出了一种求解多目标车辆路径问题的智能水滴算法。本文对基本的智能水滴算法进行了改进,证明改进的智能水滴遗传混合算法是求解离散问题的有效方法。作者给出了一个实例,说明了该算法的适用性。通过与基本算法的比较,表明改进的智能液滴遗传混合算法具有更高的计算效率和连续优化能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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