Title :
A study on hybrid genetic algorithms using random signal based learning employing simulated annealing
Author :
Han, Chang-wood ; Park, Jung-il
Author_Institution :
Sch. of Electr. & Electron. Eng., Yeungnam Univ., Daedong, South Korea
Abstract :
In this paper, we propose hybrid genetic algorithms using random signal-based leaning employing simulated annealing instead of mutation operator, which is one of the genetic operators, in order to get a global solution. The effectiveness of the proposed algorithm is verified by computer simulation of two different examples
Keywords :
genetic algorithms; learning systems; random processes; simulated annealing; GA; hybrid genetic algorithms; random signal-based learning; simulated annealing; Cities and towns; Computational modeling; Fuzzy control; Genetic algorithms; Genetic engineering; Genetic mutations; Performance analysis; Signal processing; Simulated annealing; Temperature distribution;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.945541
