现代制造工程Issue(7)：17-25,9.DOI:10.16731/j.cnki.1671-3133.2024.07.003
基于改进鲸鱼优化算法的AGV柔性作业车间多目标优化调度
An IWOA for multi-objective optimization scheduling of AGV flexible job shop
摘要
Abstract
Aiming at the problem of Automated Guided Vehicle(AGV)scheduling in flexible job shop,based on the sustainable perspective,considering the problem of workshop energy consumption,under the condition of the number of machines and AVG,a sustainable flexible job shop scheduling model is constructed with the optimization objectives of minimizing the maximum comple-tion time,workshop energy consumption and the number of AGV used.Firstly,an Improved Whale Optimization Algorithm(IWOA)was designed,which introduced a nonlinear convergence factor and adaptive inertia weight on the basis of the standard whale optimization algorithm to improve the search ability and convergence speed of the algorithm.Secondly,the fuzzy membership theory was used to construct the loss function to obtain the optimal compromise solution of the multi-objective model.Finally,the performance of the algorithm was verified based on examples.The experimental results show that IWOA shows good effects in sol-ving instances of different sizes,which provides an effective practical way for solving the sustainable flexible job shop optimization scheduling with AGV transportation.关键词
柔性作业车间/可持续/多目标优化调度/改进鲸鱼优化算法/模糊隶属度Key words
flexible job shop/sustainable/multi-objective optimization scheduling/Improved Whale Optimization Algorithm(IWOA)/fuzzy membership分类
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王赟,马荣,唐思源..基于改进鲸鱼优化算法的AGV柔性作业车间多目标优化调度[J].现代制造工程,2024,(7):17-25,9.基金项目
国家自然科学基金项目(10971243) （10971243）
山西省教育科学"十四五"规划2022年度课题项目(GH-220678) （GH-220678）
内蒙古自治区卫生委员会项目(202201395) （202201395）
包头市卫生健康科技计划项目(wsjkkj2022120) （wsjkkj2022120）
