Title :
The performance of genetic algorithms in dynamic optimization problems
Author :
Li, Hang ; Li, Minqiang ; Wang, Jiezhi
Author_Institution :
Dept. of Manage., Civil Aviation Univ. of China, Tianjin
Abstract :
In dynamic optimization problems, both the falls and the attraction basins of local optima are time-varying. By the infinite population model and the further experiments, the influence of the dynamic environment on the performance of genetic algorithms is analyzed. The results show that genetic algorithms should keep dynamic balance between the exploitation capacity and the exploration capacity so as to keep excellent performance in the dynamic optimization problems.
Keywords :
genetic algorithms; dynamic optimization problems; exploitation capacity; exploration capacity; genetic algorithms; infinite population model; Evolutionary computation; Genetic algorithms;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4630823
