| 基于改进NSGA-II 算法的多批次小批量铝合金熔铸生产排程 |
| 点此下载全文 |
| 引用本文：钟应龙,田浩彬,李学磊,曾文蕾,许彰理,李芳芳.基于改进NSGA-II 算法的多批次小批量铝合金熔铸生产排程[J].上海第二工业大学(中文版),2025,42(3):288-297 |
| 摘要点击次数: 491 |
| 全文下载次数: 69 |
|
|
| 中文摘要:针对铝合金铸锭多规格、小批量的生产特点, 结合现有生产规则, 在优先考虑订单交期与规格等因素的基础上, 提出了一种基于改进NSGA-II 算法的铝合金熔铸生产排程算法。该算法采用分组编码方式, 通过构建适应度函数, 并结合模拟退火算法, 以交货时间、铸锭有效利用率等为主要优化目标, 对熔铸生产排程方案进行改进。实验结果表明, 改进后的NSGA-II 算法能够减少长锭数量、缩小同铸锭的交期差异, 有利于提升熔铸生产效率, 降低生产成本与能耗, 为铝合金熔铸行业的节能减排提供了可行思路与方法。 |
| 中文关键词:铝合金铸锭 生产排程 非支配排序遗传算法II 模拟退火算法 组合优化 |
| |
| Multi-Batch Small-Lot Aluminum Alloy Melting and Casting Production Scheduling Based on an Improved NSGA-II Algorithm |
|
|
| Abstract:Aiming at the characteristics of aluminum alloy ingots with multiple specifications and small batch sizes, combined with the existing production rules, and giving priority to factors such as order delivery time and specifications, an aluminum alloy melting and casting production scheduling algorithm based on the improved NSGA-II algorithm was proposed. The algorithm adopted the group coding method, and by constructing the fitness function and combining with the simulated annealing algorithm, the melting and casting production scheduling scheme was improved by taking the delivery time and the effective utilization rate of ingots as the main optimization objectives. The experimental results show that the improved NSGA-II algorithm can reduce the quantity of long ingots and narrow the delivery time difference of the same ingot, which is conducive to improving the casting production efficiency, reducing the production cost as well as the energy consumption, and providing feasible ideas and methods for energy saving and emission reduction in the aluminum alloy melting and casting industry. |
| keywords:aluminum ingots production scheduling non-dominated sorting genetic algorithm II simulated annealing algorithm combinatorial optimization |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|