首页> 外文会议>SEMCCO 2011;International conference on swarm, evolutionary, and memetic computing >Bi-criteria Optimization in Integrated Layout Design of Cellular Manufacturing Systems Using a Genetic Algorithm
【24h】

Bi-criteria Optimization in Integrated Layout Design of Cellular Manufacturing Systems Using a Genetic Algorithm

机译:基于遗传算法的蜂窝制造系统集成布局设计中的双准则优化

获取原文

摘要

Traditionally the design of the physical layout of the manufacturing system and that of the material flow path and material handling system are carried out in isolation. In this work, an attempt was made on the integrated layout design, that is, to concurrently design the physical layout and the material handling system using a Genetic Algorithm-based methodology. The proposed algorithm was employed to simultaneously optimize two contradicting objectives viz., 1. Total material handling cost 2. Distance-weighted cost of closeness rating score. The algorithm was tested on four different benchmark layouts and with different initial problem data sets. It was found that the proposed algorithm is able to produce satisfactory solutions consistently within a reasonable computational limit.
机译:传统上,制造系统的物理布局设计以及物料流路和物料搬运系统的布局设计是独立进行的。在这项工作中,尝试了集成布局设计,即使用基于遗传算法的方法同时设计物理布局和物料处理系统。该算法被用来同时优化两个相互矛盾的目标,即:1.物料搬运总成本2.距离加权接近度评分得分成本。该算法在四种不同的基准布局以及不同的初始问题数据集上进行了测试。发现所提出的算法能够在合理的计算极限内一致地产生令人满意的解决方案。

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