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首页> 外文期刊>Computational Intelligence and AI in Games, IEEE Transactions on >Comparing Heterogeneous and Homogeneous Flocking Strategies for the Ghost Team in the Game of Ms. Pac-Man
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Comparing Heterogeneous and Homogeneous Flocking Strategies for the Ghost Team in the Game of Ms. Pac-Man

机译：在《吃豆人》女士游戏中比较幽灵团队的异构和同类植绒策略

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摘要

In the last year, thanks to the Ms. Pac-Man Versus Ghosts Competition, the game of Ms. Pac-Man has gained increasing attention from academics in the field of computational intelligence. In this paper, we contribute to this research stream by presenting a simple genetic algorithm with lexicographic ranking (GALR) for the optimization of flocking strategy-based ghost controllers. Flocking strategies are a paradigm for intelligent agents characterized by showing emergent behavior and for having very little computational and memory requirements, making them well suited for commercial applications and mobile devices. In particular, we study empirically the effect of optimizing homogeneous and heterogeneous teams. The computational analysis shows that the flocking strategy-based controllers generated by the proposed GALR outperform the ghost controllers included in the competition framework and some of those presented in the literature.
机译：去年，由于Pac-Man女士对战Ghosts竞赛，Pac-Man女士的游戏在计算智能领域引起了越来越多学者的关注。在本文中，我们通过提出一种具有字典排序（GALR）的简单遗传算法来优化基于植绒策略的幻影控制器，为这一研究工作做出了贡献。植群策略是智能代理的范例，其特征在于表现出紧急行为并且对计算和内存的需求很少，使其非常适合于商业应用和移动设备。特别是，我们通过经验研究优化同类团队和异类团队的效果。计算分析表明，由拟议的GALR生成的基于植绒策略的控制器的性能优于竞争框架中包括的虚影控制器以及一些文献中介绍的幽灵控制器。

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