Title :
Diversity enhanced Adaptive Evolutionary Programming for solving single objective constrained problems
Author :
Mallipeddi, R. ; Suganthan, P.N. ; Qu, B.Y.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
In Evolutionary Algorithms, the occurrence of premature convergence is due to lack of diversity in the population during the search process. The effect may be more predominant if the optimization problem includes constraints. In this paper we propose an explicit memory based diversity enhancement Adaptive Evolutionary Programming (DivEnh-AEP) method to solve constraint optimization problems of CEC 2006.
Keywords :
convergence; evolutionary computation; optimisation; constraint optimization problem; diversity enhancement adaptive evolutionary programming; evolutionary algorithm; explicit memory; premature convergence; search process; single objective constrained problem; Constraint optimization; Convergence; Evolutionary computation; Genetic mutations; Genetic programming; Stochastic processes;
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
DOI :
10.1109/CEC.2009.4983201
