@article{oai:u-ryukyu.repo.nii.ac.jp:02005228,
 author = {當間, 愛晃 and 遠藤, 聡志 and 山田, 孝治 and Toma, Naruaki and Endo, Satoshi and Yamada, Koji},
 issue = {55},
 journal = {琉球大学工学部紀要},
 month = {Mar},
 note = {In the AI field, adaptive algorithms such as neural networks or genetic algorithms are recognized as the powerful learning systems or effective search methods. However, about immune algorithms modeled as a human immunity, it's fundamental ability and engineering applicablity is not cleared yet. In this paper, we apply the immune algorithm to the n-th traveling salesman problem (n-TSP) and discuss the effectivity of this algorithm., 紀要論文},
 pages = {77--82},
 title = {免疫アルゴリズム記憶機構を利用したnTSPの解法に関する考察},
 year = {1998}
}