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首页> 外文会议>Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on >A Modified Genetic Algorithm to Optimize A Multi-item Inventory System with Random Demands and Stochastic Lead Time
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A Modified Genetic Algorithm to Optimize A Multi-item Inventory System with Random Demands and Stochastic Lead Time

机译：随机需求和随机提前期的多项目库存系统优化的改进遗传算法

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摘要

Multi-item inventory systems with stochastic demands and lead time are studied to reduce operation costs and use resources effectively. In order to reach minimal costs in the long run, a (s, S) model based on stochastic demands and lead time is advanced, A modified Genetic Algorithm based on minimal gene segment coding, two generations competition and adaptive selection was developed to solve the problem, a M-C statistical Testing Method was presented to compute adaptive values, which significantly improve warehouse and capital management. The result of the modified Genetic Algorithm shows that over 7% operation costs is saved compared with the result of random generated.
机译：研究具有随机需求和提前期的多项目库存系统，以降低运营成本并有效地利用资源。为了从长远来看达到最小的成本，提出了一种基于随机需求和提前期的（s，S）模型，开发了一种基于最小基因段编码，两代竞争和自适应选择的改进遗传算法来解决该问题。问题，提出了一种MC统计测试方法来计算自适应值，从而显着改善仓库和资金管理。改进的遗传算法的结果表明，与随机生成的结果相比，节省了7％的运营成本。

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