Optimization in Strategy Games : Using Genetic Algorithms to Optimize City Development in FreeCiv
Optimization in Strategy Games : Using Genetic Algorithms to Optimize City Development in FreeCiv
复制标题
策略游戏中的优化：使用遗传算法优化 FreeCiv 中的城市发展
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
G. Chen
中科院分区：
文献类型：
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作者：
I. Watson;D. Azhar;Ya Chuyang;Wei Pan;G. Chen
在视频游戏开发中使用人工智能技术的需求越来越大，以改善用户交互和沉浸感，而不仅仅是在图形和声音等其他开发领域中看到的复杂性的大幅增加。因此，视频游戏已成为人工智能研究越来越重要的试验场，该行业的利润丰厚是一个额外的好处。这个项目涉及的遗传算法（GA）的实施，以优化城市发展的一个回合为基础的战略游戏Freeciv，希望大大减少微观管理城市发展的各个方面，一个问题，往往困扰着这类游戏的需要。本文是一份中期报告，涵盖了项目的关键问题，并对迄今为止所做的工作进行了讨论。
There is a growing demand for the use of AI techniques in videogame development to improve user interaction and immersion beyond that achieved by the great increase in sophistication seen in other areas of development like graphics and sound. Videogames have hence become an increasingly important testing ground for AI research, with the lucrative nature of the industry being an additional bonus. This project deals with the implementation of a genetic algorithm (GA) to optimize city development for a turned based strategy game Freeciv, with the hope of greatly reducing the need for micro – managing various facets of city development, a problem that often plagues games of this ilk. This paper is an interim report that covers issues key to the project, and provides a discussion on the work done so far.