On solving rectangle bin packing problems using genetic algorithms

Shian Miin Hwang, Cheng Yan Kao, Jorng Tzong Horng

研究成果: 雜誌貢獻會議論文同行評審

39 引文 斯高帕斯(Scopus)

摘要

This paper presents an application of genetic algorithms in solving rectangle bin packing problems which belong to the class of NP-Hard optimization problems. There are three versions of rectangle bin packing problems to be discussed in this paper: the first version is to minimize the packing area, the second version is to minimize the height of a strip packing, and the final version is to minimize the number of bins used to pack the given items. Different versions of genetic algorithms are developed to solve the three versions of problems. Among these versions of genetic algorithms, we have demonstrated two ways of applying the genetic algorithms, either to solve the problem directly or to tune an existing heuristic algorithm so that the performance is improved. Experimental results are compared to well-known packing heuristics FFDH and HFF. From these results, we know that both methods can be useful in practice.

原文???core.languages.en_GB???
頁(從 - 到)1583-1590
頁數8
期刊Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
2
出版狀態已出版 - 1994
事件Proceedings of the 1994 IEEE International Conference on Systems, Man and Cybernetics. Part 1 (of 3) - San Antonio, TX, USA
持續時間: 2 10月 19945 10月 1994

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