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首页> 外文期刊>The Kasetsart Journal >A Hybrid Genetic Algorithms and Tabu Search for Solving an Irregular Shape Strip Packing Problem
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A Hybrid Genetic Algorithms and Tabu Search for Solving an Irregular Shape Strip Packing Problem

机译:混合遗传算法和禁忌搜索法求解不规则形状带状包装问题

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摘要

This paper presents a packing algorithm to solve an irregular shape strip packing problem. The polygons are packed in strip material, which limits a bin width but not limits a bin length. The objective of a packing algorithm is to minimize a bin length. This paper proposes a hybrid method of genetic algorithms and tabu search to solve a packing problem. Initially, a hybrid method behaves like regular genetic algorithms. After that, a hybrid method is self adapting until it behaves like a tabu search. This paper compares results generated by a hybrid method with genetic algorithms and tabu search. The experiment data is the 13 pieces convex-type polygon and duplicate, triplicate and quadruplicate. The experiment shows that a hybrid method generates better result than genetic algorithms about 2.56% to 4.69% and a hybrid method generates better result than tabu search about 0.26% to 2.78%.
机译:本文提出了一种用于解决不规则形状的条形包装问题的包装算法。多边形以条带材料包装,这限制了条带宽度但不限制条带长度。打包算法的目的是使存储箱长度最小化。本文提出了一种遗传算法和禁忌搜索的混合方法来解决包装问题。最初,混合方法的行为类似于常规遗传算法。此后,混合方法会自我适应,直到表现得像禁忌搜索一样。本文将混合方法与遗传算法和禁忌搜索生成的结果进行比较。实验数据为13个凸型多边形,一式三份,一式三份,一式四份。实验表明,混合方法比遗传算法产生的结果更好,约为2.56%至4.69%,混合方法比禁忌搜索产生的结果更好,约为0.26%至2.78%。

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