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pro vyhledávání: '"Cheng-Feng Ko"'
Autor:
Cheng-Feng Ko, 柯政鋒
95
Genetic algorithm (GA) is very effective to solve optimization problems. However, GA suffers from the serious problem of premature convergence. Premature convergence will trap GA into local optima. To avoid this problem, some studies solve it
Genetic algorithm (GA) is very effective to solve optimization problems. However, GA suffers from the serious problem of premature convergence. Premature convergence will trap GA into local optima. To avoid this problem, some studies solve it
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/09807277415209858676
Publikováno v:
Memetic Computing. 1:191-203
Genetic algorithm (GA) is well-known for its effectiveness in global search and optimization. To balance selection pressure and population diversity is an important issue of designing GA. This paper proposes a novel hybridization of GA and tabu searc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d8bae8e027e4de0a32da68ee4c5e945
https://doi.org/10.1007/s12293-009-0013-z
https://doi.org/10.1007/s12293-009-0013-z
Autor:
Chuan-Kang Ting, Cheng-Feng Ko
Publikováno v:
2008 IEEE International Conference on Systems, Man & Cybernetics; 2008, p553-558, 6p