Title :
A new estimation of distribution algorithm based on learning automata
Author :
Rastegar, R. ; Meybodi, M.R.
Author_Institution :
Dept. of Comput. Eng. & IT, Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
In this paper we introduce an estimation of distribution algorithm based on a team of learning automata. The proposed algorithm is a model based search optimization method that uses a team of learning automata as a probabilistic model of high quality solutions seen in the search process. Simulation results show that the proposed algorithm is a good candidate for solving optimization problems.
Keywords :
learning automata; optimisation; search problems; distribution algorithm; learning automata; model-based search optimization; Biological cells; Clustering algorithms; Computational complexity; Electronic design automation and methodology; Genetic algorithms; Learning automata; Learning systems; Mutual information; Optimization methods; Stochastic systems;
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN :
0-7803-9363-5
DOI :
10.1109/CEC.2005.1554938
