首页> 外文会议>International Conference on Applied Mathematics, Modeling and Simulation >Design and Simulation of Workshop Layout Reconstruction Based on Flexsim and Multi-objective Genetic Algorithm
【24h】

Design and Simulation of Workshop Layout Reconstruction Based on Flexsim and Multi-objective Genetic Algorithm

机译:基于FlexSIM和多目标遗传算法的车间布局重建设计与仿真

获取原文

摘要

Research the problem of dynamic layout of equipment with multiple constraints in reconfigurable workshop. The logistics transport and restructuring of the layout cost as an optimization target. Transforming the dynamic layout problem into a static layout problem in single production cycle. Utilizing the theory of virtual manufacturing and computer simulation to construct a multi - constrained optimization model for dynamic layout of multiple devices with different equipments' acreage. Adopting new genetic algorithm with multi - fitness function and random competition roulette selection strategy to this NP problem that overcomed the shortcomings of a single fitness function that does not guarantee optimal optimization and can not provide multiple strategies for production risk decisions. This approach improved the convergence rate and obtained varieties of feasible solutions from multi-angle model. The effectiveness of the method is verified by examples and Flexsim simulation.
机译:重新配置研讨会中多个约束设备动态布局问题研究。物流运输和重构布局成本作为优化目标。单生产周期中动态布局问题转换为静态布局问题。利用虚拟制造理论和计算机仿真理论,构建多约束优化模型,用于不同设备的多个设备的动态布局。采用具有多健康函数和随机竞争轮盘选择策略的新遗传算法,克服了单一健身功能的缺点,不保证最佳优化,不能提供多种生产风险决策的策略。这种方法改善了来自多角度模型的收敛速率并获得了可行性解决方案的品种。通过示例和FlexSIM仿真验证该方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号