摘要
本文从供应链上企业的生产和客户需求的不确定性出发,提出了物流配送网络选址优化问题的带模糊约束规划的数学模型,并结合算法的特点提出其对应的混合遗传求解算法,模拟结果表明此算法可得到质量更高的优化解.
According to the uncertainty characteristic in plants and of customer, a fuzzy constrained mathematical model is put forward. Owing to the specialty of the model, the mixed hybrid algorithm is given, which is based on the extended transportation problem. The result of simulation shows that the given algorithm is valid to the large-scale logistics network model.
出处
《经济数学》
2008年第3期277-282,共6页
Journal of Quantitative Economics
关键词
物流配送
网络选址
模糊数学模型
混合遗传算法
Logistics distribution, network planning, fuzzy mathematical model, mixed genetic algorithm
