基于改进遗传算法的供应链物流成本优化模型研究

摘要

Logistics cost control is becoming an effective way to improve the supply chain value -rising in global competition environment. Logistics cost control is always an important factor to reduce supply chain total cost, cost rationalization of logistics can make supply chain total cost reach the optimal. The article applies collaborative concept to supply chain logistics network, constructs logistics cost optimization model to reduce the total cost of logistics network, and implement the calculation of the model by using the improved virus evolutionary genetic algorithm to get the optimum solution more effectively and more rapidly. Finally it uses an example to illustrate the practicability of the model.%在竞争全球化的环境下,物流成本控制成为了提高整个供应链增值效益的有效途径.物流成本的控制一直以来都是降低供应链运作总成本的一个重要因素,物流成本的合理化可以使供应链总成本达到最优.将协同概念引入到供应链物流网络中,建立供应链物流成本优化模型来降低整个物流总成本,并采用改进的病毒进化遗传算法来实现模型的计算,使得能更有效、快速地得到问题的最优解,最后用一个算例来说明模型的实用性.