Investigation on the rectangular packing problem based on the ant colony algorithm

Yi-nan Guo, Hui Li
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Abstract

The large-scale rectangular packing problem is a typical combinatorial optimisation problem, which belongs to the most complicated NP-complete problem. Now, it is very difficult to obtain the best solution within a certain time by the commonly used theories and methods of calculation. The ant colony algorithm, developed in recent years, is very effective in solving combinatorial optimisation and NP-problems. Based on the analysis of ant colony algorithm and the rectangular packing problem, this paper combine the ant colony algorithm and rectangular packing problem, the best-worst ant model is built and then simulated, finally, an example is used to prove the effectiveness of the proposed algorithm.
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基于蚁群算法的矩形装箱问题研究
大规模矩形布局问题是典型的组合优化问题,属于最复杂的np完全问题。目前,用常用的理论和计算方法很难得到一定时间内的最优解。近年来发展起来的蚁群算法在解决组合优化和np问题方面非常有效。在分析蚁群算法和矩形布局问题的基础上,将蚁群算法和矩形布局问题结合起来,建立了最佳-最差蚁群模型并进行了仿真,最后通过算例验证了算法的有效性。
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