Title :
An Investigation on the Optimization Procedures of Intelligent Genetic Algorithm
Author_Institution :
Dept. Of Archit. & Design, Nagoya Inst. of Technol., Nagoya
Abstract :
Although the genetic algorithm (GA) is powerful and not limited by restrictive assumptions about search space of optimization problems, it has a convergency problem when it is used to find the optimum point with high accuracy. The object of developing an intelligent GA is to improve this weakness. In this paper, the optimization procedures of an intelligent GA are investigated, the advantages of the intelligent GA in improving the weakness in selecting GA parameters are confirmed.
Keywords :
convergence of numerical methods; genetic algorithms; search problems; convergency problem; intelligent genetic algorithm; optimization problems; search space; Algorithm design and analysis; Computational intelligence; Computer architecture; Convergence; Design optimization; Genetic algorithms; Humans; Optimization methods; Protection; Space technology;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.986
