首页> 外文会议>International Conference on Advanced Logistics and Transport >Particle swarm optimization approach for resolving the cutting stock problem
【24h】

Particle swarm optimization approach for resolving the cutting stock problem

机译:粒子群优化方法解决切削料问题

获取原文

摘要

We propose in this paper a one dimensional cutting stock problem encountered in a large manufacturer of multi-usable cables. The problem consists in the post-production process where a variety of orders of multi-sized sets of cables should be satisfied. We developed a solution method based on a particle swarm optimization approach that takes into account the characteristics of the specific problem. We assume that the manufacture produce cables sets having the same length. The reduction of the wastage is tackled which is successfully tested in this paper. A mathematical model of the problem is developed, and results on a wide variety of instances and comparisons with other works found in the literature are presented to illustrate the effectiveness of our algorithm in solving the cutting stock problem.
机译:我们在本文中提出了在大型多用途电缆制造商中遇到的一维切割库存问题。问题在于后期制作过程中,应满足各种尺寸的多组电缆订单。我们开发了一种基于粒子群优化方法的解决方法,该方法考虑了特定问题的特征。我们假设制造商生产具有相同长度的电缆组。解决了浪费的减少问题,该问题已在本文中成功进行了测试。建立了问题的数学模型,并给出了各种实例的结果以及与文献中发现的其他作品的比较结果,以说明我们的算法在解决切削料问题方面的有效性。

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