Title :
A New Electrostatic Field Termination Criterion for Evolutionary Algorithm
Author :
Peng, Sheng ; Li, Yuxiang
Author_Institution :
State Key Lab. of Software Eng., Wuhan Univ., Wuhan
Abstract :
With the ideas of the classic electrostatic field, a new electrostatic field termination criterion for evolutionary algorithm is proposed in this paper. We get a new electrostatic field evolutionary algorithm model as follow: The searching region of the object-function is regard as a metal conductor first; then all the individuals are considered as the free metal ions; moreover we take the object-function F(x) as the electrostatic field E surrounding the metal conductor. Finally, we give a new electrostatic field termination criterion with the classic electrostatic field theory. The new algorithm is used to solve some global optimal problems and satisfactory numerical results are achieved. The results show it can converge to the global minimum quickly and reduce the evaluations effectively.
Keywords :
electric fields; evolutionary computation; electrostatic equilibrium; electrostatic field termination criterion; electrostatic field theory; evolutionary algorithm; Computer science; Conductors; Electric potential; Electrostatics; Evolutionary computation; Genetic mutations; Physics; Software engineering; Space charge; Stochastic processes; Electrostatic Equilibrium; Electrostatic Field; Evolutionary Algorithm;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.822