Title :
A dynamical evolutionary algorithm for constrained optimization problems
Author :
Xiufen Zou ; Kang, Lishan ; Li, Yuanxiang
Author_Institution :
State Key Lab. of Software Eng., Wuhan Univ., China
Abstract :
In this paper, we present an effective dynamical evolutionary algorithm (DEA) to handle constrained optimization problems. The novelty of DEA is that we design a new select mechanism based on the principle of energy minimization of statistical mechanics. The algorithm has been evaluated numerically using several benchmark problems. The numerical results show our approach is superior to any other published results known by the authors
Keywords :
constraint handling; evolutionary computation; optimisation; DEA; constrained optimization; dynamical evolutionary algorithm; energy minimization; evolutionary algorithm; evolutionary computation; select mechanism; statistical mechanics; Centralized control; Constraint optimization; Control systems; Dynamic programming; Evolutionary computation; Genetic programming; Laboratories; Mathematics; Software engineering; Statistics;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1007043
