Research on Production Scheduling Based on Multi-objective Collaborative
OptimizationAlgorithm
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National Cold Rolled Strip Equipment and Technology Engineering Research Center
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出版日期
2020-09-10
发布日期
2020-12-09
摘要
针对流程工业生产调度具有复杂性、多约束性和多目标性难以优化的特点,提出了一种新型强化协同优化算法
(N C O ),并将该算法应用于求解多目标优化问题,提出了基于N C O 算法的多目标协同优化方法(M O N C O )。研究表明,
M O N C O 算法应用于车间调度问题,不仅可以优化生产工序,还能减少迭代次数,提高计算效率。
Abstract
In view of the complexity, multi-constraint and multi-objective characteristics of production scheduling in process indus-
try, an enhanced collaborative optimization algorithm (NCO) is proposed, which is applied to solve multi-objective optimization
problems, and a multi-objective collaborative optimization method (MONCO) based on NCO is proposed. The simulation results
show that MONCO algorithm can not only optimize the effect, but also reduce the number of iterations and improve the computa-
tional efficiency
JIAWan-da PENG Yan SHI Bao-dong.
Research on Production Scheduling Based on Multi-objective Collaborative
OptimizationAlgorithm[J]. Computer & Telecommunication. 2020, 1(9): 1-5