人工知能学会誌（1986～2013, Print ISSN:0912-8085）
個体群探索分岐型遺伝的アルゴリズムfGA(Forking GA)の提案
1994 年 9 巻 5 号 p. 741-747
詳細
1994 年 9 巻 5 号 p. 741-747
This paper presents a new type of multi-population GA, that is, the forking Genetic Algorithm (fGA). The fGA is designed to solve multi-modal problems which are difficult to solve by the traditional GAs because of the many isolated-optimums. The feature of fGA is that it uses multi-population consisting of one parent population with blocking mode and one or more child populations with shrinking mode. Two problems are taken to demonstrate the validity of fGA. One is an FM Sounds parameter identification problem and the other is Oliver's 30 City TSP. The results of experiments show that the fGA outperforms the standard GA.
