@article{oai:nagoya.repo.nii.ac.jp:00008561,
 author = {沈, 侃 and SHEN, KAN and 翟, 菲 and ZAI, FEI and 北, 栄輔 and KITA, EISUKE},
 journal = {情報処理学会論文誌},
 month = {Oct},
 note = {本研究では,自己組織化マップを用いた進化的計算法であるSelf-Organizing Maps for Genetic Algorithm (SOM-GA)という手法を提案する.3つのテスト関数によって,提案手法の探索性能を実数値遺伝的アルゴリズム(RCGA)と比較した結果,SOM-GAがRCGAよりも良い探索結果を示すことが分かった., This paper describes Self-Organizing Maps for Genetic Algorithm (SOM-GA) which is the evolutionay algorithm by using self-organizing map. The search performance of the SOM-GA is compared with the real-coded genetic algorithm (RCGA) on three test functions. The results show that the present algorithm has better search performance than the RCGA.},
 pages = {118--125},
 title = {自己組織化マップを用いた遺伝的アルゴリズムの検討},
 volume = {48},
 year = {2007}
}