Revisiting genetic selection in the XCS learning classifier system
Revisiting genetic selection in the XCS learning classifier system
复制标题
重新审视 XCS 学习分类器系统中的遗传选择
DOI：
10.1109/cec.2005.1554949
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
M. Odeh
中科院分区：
文献类型：
--
作者：
Faten F. Kharbat;L. Bull;M. Odeh
XCS学习分类器系统传统上在其遗传算法组件中使用轮盘赌轮选择。最近，锦标赛选择已被建议为提供了许多好处，在原来的计划，特别是鲁棒性的参数设置和问题的噪音。本文回顾了XCS中的比赛和轮盘选择在许多不同的情况下的行为之间的比较。结果表明，轮盘赌轮选择是有竞争力的性能，稳定性和生成的解决方案的大小，如果使用适当的参数。
The XCS learning classifier system has traditionally used roulette wheel selection within its genetic algorithm component. Recently, tournament selection has been suggested as providing a number of benefits over the original scheme, particularly a robustness to parameter settings and problem noise. This paper revisits the comparisons made between the behavior of tournament and roulette wheel selection within XCS in a number of different situations. Results indicate that roulette wheel selection is competitive in terms of performance, stability and generated solution size if the appropriate parameters are used.