Self-tuning Optimization to Compatible the Delivery and Low Energy Consumption

Chending Mao, Jia Lin, S. Arima
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引用次数: 1

Abstract

This paper introduced n-step hybrid flow-shop scheduling (nHFS) with batch process to consider a trade-offs between power consumption and productivity. Wider optimization scope with power conscious have been advanced to increase efficiency of algorithm and tune the parameter automatically based on our past research. Concretely, Energy consumption and due date are considered in Self-tuning Optimization. Actual companies' data are used to evaluate the performance of proposed and past methods.
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自调整优化,以兼容交付和低能耗
本文引入了带批处理的n步混合流水车间调度(nHFS),考虑了能耗和生产率之间的权衡。在以往研究的基础上,提出了更广泛的优化范围,并考虑到功率,以提高算法的效率和参数的自动调整。具体地说,自调整优化中考虑了能耗和到期日。实际公司的数据被用来评估提出的和过去的方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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