2024-03-29T05:02:32Z
https://u-ryukyu.repo.nii.ac.jp/oai
oai:u-ryukyu.repo.nii.ac.jp:02005215
2022-10-31T02:33:37Z
1642837622505:1642837855274:1642837876648
1642838403551:1642838406845
2集団の共生関係に基づく共進化アルゴリズムの性能解析
Analysis for Performance of Symbiosis Co-evolutionary Algorithm
根路銘, もえ子
遠藤, 聡志
山田, 孝治
宮城, 隼夫
Nerome, Moeko
Endo, Satoshi
Yamada, Koji
Miyagi, Hayao
Co-evolutionary algorithm
Symbiosis
Genetic algorithms
N-Queens problem
In this paper, we analyze the behavior of symbiotic evolution algorithm for the N-Queens problem as benchmark problem for search methods in the field of aritificial intelligence. It is shown that this algorithm improves the ability of evolutionary search method. When the problem is solved by Genetic Algorithms (GAs), an ordinal representation is often used as one of gene conversion methods which convert from phenotype to genotype and reconvert. The representation can hinder occurrence of lethal genes. Typically, the representation pattern is fixed to one pattern. However, we consider that the kinds of generated solution are increased by preparing the permutation pattern with the several and the better solutions may be generated by the permutation pattern evolving. This paper introduces the symbiotic evolution model in which two evolutional populations are solutions and permutations for solving the N-Queens problem. To investigate the performance of symbiotic algorithm, it is compared with three kinds of evolutionary methods based on GA. From the results of computer simulations, we consider the characteristics of this algorithm.
紀要論文
http://purl.org/coar/resource_type/c_6501
琉球大学工学部
2000-09
VoR
http://hdl.handle.net/20.500.12000/14707
0389-102X
AN0025048X
琉球大学工学部紀要
60
111
105
jpn
open access