Mendeley
TY  _  JOUR
ID  -  13940826105642391
TI  -  A New Evolutionary Estimation of Distribution Algorithm Based on Learning Automata
JO  -  Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran
JA  -  ES
LA  -  fa
SN  -  16823745
AU  -  Meybodi M. R.
AD  -  دانشگاه صنعتی امیرکبیر
Y1  -  2004
PY  -  2004
VL  -  2
IS  -  
SP  -  73
EP  -  82
KW  -  Estimation of distribution algorithmprobabilistic model building genetic algorithmlearning automatagenetic algorithm
DO  -  
N2  -  In order to overcome the poor behaviors of genetic algorithms in some problems other classes of evolutionary algorithms have been recently developed by researchers. Although these algorithms do not have the simplicity of classic genetic algorithms but they are superior to genetic algorithms. The Probabilistic Model Building Genetic Algorithms or Estimation of Distribution Algorithms (EDAs) is one of these classes which is recently developed. In this paper we introduce a new estimation of distribution algorithm based on Learning Automata. The proposed algorithm is a model based search optimization method that uses a set of learning automata as a probabilistic model of the population of solutions in the search space. The proposed algorithm is a simple algorithm which has produced good results for the optimization problems considered in this problem.
UR  - rimag.ir/en/Article/27833
L1  - rimag.ir/en/Article/Download/27833
ER  -  
