Tuning a fuzzy racing car by coevolution

S. Guadarrama, Ruben Vazquez
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引用次数: 9

Abstract

In this paper, we design, build and tune a fuzzy rule-based car controller for FUZZ-IEEE 2007 Car Racing Competition. The membership functions of the car controller are tuned with coevolutionary genetic algorithms. Cooperative and competitive approaches to tuning parameters are compared. In principle, results obtained with a cooperative approach with a BLX cross operator are slightly better than results derived from a competitive method with a 1-point cross operator. In any case, further experiments are needed to support our findings.
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通过共同进化调整一辆模糊赛车
在本文中,我们设计,构建和调整了一个基于模糊规则的汽车控制器,用于fuzzy - ieee 2007赛车比赛。采用协同进化遗传算法对汽车控制器的隶属度函数进行了调整。比较了合作和竞争两种参数整定方法。原则上,使用BLX交叉算子的合作方法得到的结果略好于使用1点交叉算子的竞争方法得到的结果。无论如何,还需要进一步的实验来支持我们的发现。
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