Fuzzy Setting of GA Parameters
Radomil Matoušek, Pavel Ošmera · 2000
Applications of Genetic Algorithms — GAs for optimization problems are widely known as well for their advantages and disadvantages compared with classical numerical methods. In practical tests, a GA appears as robust method with a broad range of applications. The determination of GA parameters could be complicated. Therefore, for some real-life applications, several empirical observations of an experienced expert are needed to define these parameters. This fact degrades the applicability of GA for most of the real-world problems and users. Therefore, this article discusses some possibilities with setting a GA. The setting method of GA parameters is based on the fuzzy control of values of GA parameters. The feedback for the fuzzy control of GA parameters is realized by virtue of the behavior of some GA characteristics. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.