摘要
一位新闻记者-机器人和机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器学习-智能系统的新报告。根据NewsRx记者从湖南发回的新闻报道,研究表明:“分布排列流水车间调度问题(DPFSP)是经济全球化背景下最热门的问题之一,本文提出了一种以最小完工时间为目标的q学习强化果蝇优化算法(QFOA)。”本研究的资助单位包括国家自然科学基金(NSFC)、国家自然科学基金(NSFC)、湖南省自然科学基金、湖南省科技举升工程青年人才、湖南省教育厅优秀青年项目、湖南省教育厅重点项目。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Machine Learn ing - Intelligent Systems. According to news reporting originating from Hunan, P eople's Republic of China, by NewsRx correspondents, research stated, "The distr ibuted permutation flow shop scheduling problem (DPFSP) is one of the hottest is sues in the context of economic globalization. In this paper, a Q-learning enhan ced fruit fly optimization algorithm (QFOA) is proposed to solve the DPFSP with the goal of minimizing the makespan." Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), Natural Science Foun dation of Hunan Province, Young Talent of Lifting Engineering for Science and Te chnology in Hunan Province, Outstanding Youth Project of Education Department of Hunan Province, Key Project of Education Department of Hunan Province of china.
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