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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
Immune algorithms for nTSP
當間, 愛晃
遠藤, 聡志
山田, 孝治
Toma, Naruaki
Endo, Satoshi
Yamada, Koji
Immune Algorithm
n-TSP
Genetic Algorithm
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
http://purl.org/coar/resource_type/c_6501
琉球大学工学部
1998-03
VoR
http://hdl.handle.net/20.500.12000/14748
0389-102X
AN0025048X
琉球大学工学部紀要
55
82
77
jpn
open access