基于多源驱动种群遗传算法的供应链配置优化方法和系统

By optimizing supply chain configuration through a multi-source driven population genetic algorithm, the problem of rapidly finding the optimal solution in a dynamic environment is solved, achieving cost minimization and efficient resource allocation, and adapting to market changes.

CN120782181BActive Publication Date: 2026-07-17JIANGNAN UNIV
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGNAN UNIV
Filing Date
2025-06-30
Publication Date
2026-07-17

Smart Images

  • Figure CN120782181B_ABST
    Figure CN120782181B_ABST
Patent Text Reader

Abstract

本发明涉及一种基于多源驱动种群遗传算法的供应链配置优化方法和系统，其中，方法包括：将多个订单所构成的生产周期划分为多个调度单元，每个调度单元包含多个订单；初始化三个种群，每个种群包括若干个体，每个个体通过为一个调度单元的每个订单随机选择配置得到；对三个种群根据各自的适应度函数对每个个体进行适应度评价；对三个种群分别进行选择操作、修复性交叉操作、变异操作，得到新的主种群；对新的主种群中每个个体重新进行适应度评价；根据新的适应度评价结果判断是否达到终止迭代条件，若达到则优化所有调度单元，若没达到则循环执行改进的遗传算法以达到终止迭代条件。本发明能够对供应链进行有效配置优化。
Need to check novelty before this filing date? Find Prior Art