粒子群算法在棋类游戏中的应用

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) Pub Date : 2008-06-01 DOI:10.1109/CEC.2008.4631299

João A. Duro, José Valente de Oliveira

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引用次数: 17

摘要

本文利用作者所掌握的知识，首次研究了粒子群优化(PSO)在赋予棋手智能体学习能力的情况下的适用性，即允许智能体根据其经验提高其性能。

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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Particle swarm optimization applied to the chess game

To the best of the authorspsila knowledge this paper investigates for the first time the applicability of particle swarm optimization (PSO) to a chess player agent endowing it with learning abilities, i.e. allowing the agent to improve its performance based on its experience.

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来源期刊

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)

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