首页> 外文期刊>Engineering Applications of Artificial Intelligence >An improved heuristic algorithm for 2D rectangle packing area minimization problems with central rectangles
【24h】

An improved heuristic algorithm for 2D rectangle packing area minimization problems with central rectangles

机译:一种改进的启发式算法,用于解决带有中心矩形的二维矩形包装面积最小化问题

获取原文
获取原文并翻译 | 示例
           

摘要

Be different with traditional 2D rectangle packing area minimization problem (RPAMP), a specific RPAMP named CR-RPAMP includes one or more central rectangles, which must be located in the center of the final layout. Besides, for CR-RPAMP, the length and width of the final layout are not fixed, but can be changed within a reasonable length-width ratio scope. In this paper, based on HACR (heuristic algorithm for CR-RPAMP), an improved heuristic algorithm called IHACR is proposed in order to improve the performance of HACR, especially to decrease the computational complexity of HACR. Compared with HACR, IHACR includes three more rectangle placement mechanisms, which are strategy of combining rectangles, strategy of leaving biggest inner space and strategy of eliminating unnecessary comparisons. Then, a set of schematic descriptions is used to describe the difference between HACR and IHACR. Simulation results based on 34 benchmark instances show that computing time obtained by IHACR is much shorter than that obtained by HACR when solving CR-RPAMP, and the filling rate of final layout obtained by IHACR is bigger than that obtained by HACR while the number of rectangles of the instance is appropriate large. It means that IHACR is more effective and efficient than HACR. Finally, HACR and IHACR are used for solving the equipment layout problem of oil-gas-water treating system of semi-submersible production platform, and the results show that the performance of IHACR is better than that of HACR. The wonderful final layout obtained by IHACR satisfies the requirements of semi-submersible production platform and verifies the practicality and high-efficiency of IHACR.
机译:与传统的2D矩形包装面积最小化问题(RPAMP)不同,名为CR-RPAMP的特定RPAMP包含一个或多个中央矩形,这些矩形必须位于最终布局的中心。此外,对于CR-RPAMP,最终布局的长度和宽度不是固定的,而是可以在合理的长宽比范围内进行更改。本文基于HACR(CR-RPAMP启发式算法),提出了一种改进的启发式算法IHACR,以提高HACR的性能,尤其是降低HACR的计算复杂度。与HACR相比,IHACR还包括三种矩形放置机制,即组合矩形的策略,留下最大内部空间的策略和消除不必要的比较的策略。然后,使用一组示意图描述来描述HACR和IHACR之间的差异。基于34个基准实例的仿真结果表明,在求解CR-RPAMP时,IHACR所获得的计算时间比HACR所获得的计算时间要短得多,并且在矩形数量下,IHACR所获得的最终布局的填充率要大于HACR所获得的。实例的大小是适当的。这意味着IHACR比HACR更有效。最后,将HACR和IHACR用于解决半潜式生产平台油气水处理系统的设备布置问题,结果表明,IHACR的性能优于HACR。 IHACR获得的绝妙的最终布局满足了半潜式生产平台的要求,并验证了IHACR的实用性和高效性。

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