DocumentCode
3091807
Title
Solving global optimal problems by using a dynamical evolutionary algorithm
Author
Li, Yuanxiang ; Zou, Xiufen
Author_Institution
State Key Lab. of Software Eng., Wuhan Univ., Hubei, China
fYear
2002
fDate
23-25 Oct. 2002
Firstpage
170
Lastpage
173
Abstract
We introduce a new dynamical evolutionary algorithm and use it to solve global optimal problems. A brief theoretical explanation for this algorithm is obtained from statistical mechanics. The algorithm has been evaluated numerically using a wide set of test functions which are nonlinear, multimodal and multidimensional. Numerical results show that the algorithm has the potential to obtain a global optimum or more accurate solutions than other methods for hard problems.
Keywords
evolutionary computation; numerical analysis; optimisation; dynamical evolutionary algorithm; global optimal problem solving; hard problems; multidimensional test functions; multimodal test functions; nonlinear test functions; numerical evaluation; statistical mechanics; Heuristic algorithms; Parallel processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Algorithms and Architectures for Parallel Processing, 2002. Proceedings. Fifth International Conference on
Conference_Location
Beijing, China
Print_ISBN
0-7695-1512-6
Type
conf
DOI
10.1109/ICAPP.2002.1173569
Filename
1173569
Link To Document