Vehicle Routing Problem with Weight Coefficients and Stochastic Demands Based on the Cross-Entropy Method

Yue Qiu
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引用次数: 1

Abstract

The cross-entropy (CE) method is a new generic approach to combinatorial and multi-extremal optimization and rare event simulation. Vehicle Routing Problem has been approved a NP problem and it belongs to classical Combination Optimization hard problem. An effective algorithm based on cross-entropy is designed to solve the model which named Vehicle Routing Problem with Weight Coefficients and Stochastic Demands (WVRPSD) with weight coefficients and stochastic demands. Numerical experiments have been conducted and the results indicate that the method can effectively solve this problem.
基于交叉熵方法的权系数随机需求车辆路径问题
交叉熵(CE)方法是一种新的通用方法,用于组合多极值优化和罕见事件模拟。车辆路径问题被认定为NP问题,属于经典的组合优化难问题。设计了一种有效的基于交叉熵的求解权系数随机需求车辆路径问题(WVRPSD)模型。数值实验结果表明,该方法能有效地解决这一问题。
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