A comparative study of metaheuristic algorithms for dartboard design

Ioannis Trichas, C. Drosos, A. Vlachos
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Abstract

The problem of optimally locating the numbers around a dartboard is a Combinatorial Optimization problem. In this paper, we're solving this problem using Ant System and Max-Min Ant System (MMAS) algorithm. The algorithm reinforces local search in neighborhood of the best solution found in each iteration while implementing methods to slow convergence and facilitate exploration. Both algorithms have been proved to be very effective in finding optimum solution to hard combinatorial optimization problems.
飞镖设计的元启发式算法比较研究
如何最优地定位飞镖靶上的数字是一个组合优化问题。在本文中,我们使用蚁群系统和最大最小蚁群系统(MMAS)算法来解决这个问题。该算法加强了在每次迭代中找到的最优解的邻域内的局部搜索,同时实现了减缓收敛和方便探索的方法。这两种算法已被证明是非常有效的寻找最优解的困难的组合优化问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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