使用基于云的进化优化的价值驱动制造规划
分布式、并行与集群计算
2020-07-21 v2
摘要
本文考虑价值随时间下降的制造订单的制造规划与调度。价值下降通过所谓的价值曲线建模。已提出、实现并部署至云端的两种基于遗传算法的多目标优化方法。第一种提出的方法分配并调度所有订购元素的生产，同时优化完工时间（makespan）与总价值；而第二种方法仅筛选盈利订单进行制造。所提出的进化优化已针对一组受现实世界启发的制造订单执行。两种方法产生相似的总价值，但后者导致更短的完工时间。
引用
@article{arxiv.1912.01562,
title = {Value-driven Manufacturing Planning using Cloud-based Evolutionary Optimisation},
author = {Shuai Zhao and Piotr Dziurzanski and Leandro Soares Indrusiak},
journal= {arXiv preprint arXiv:1912.01562},
year = {2020}
}
备注
This paper is an extended version of a paper published at International Conference on Manufacturing Science and Technology (ICMST) in 2019. In this version, we have updated the evaluation section to provide experimental setup and results that are more realistic and suitable to the proposed approach