Cooperative Coevolutionary Fuzzy Systems
Genetic algorithms have proved to be suited for fuzzy modeling. However, with the number of dimensions increases, most genetic algorithms tend to be inefficient. In this paper, we present a combination of cooperative coevolutionary genetic algorithm (CCGA) with fuzzy system. The flexible coding scheme permits one chromosome to correspond to a rule. For a high dimensional system, all rules can be coevolved in a small scale. One experiment showed its better performance than that of fuzzy system evolved by standard GA. We applied this method to Iris classification problem and obtain a very satisfactory result.
Wentao Wang Weilie Yi Yongbao He
Department of Computer Science Engineering Fudan University Shanghai, 200433, P. R. China
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
360-365
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）