P. Bahri - Soft Computing Laboratory Computer Engineering and Information Technology Department Amirkabir University of Technology
M. R. Meybodi

In this paper we have investigated the performance of some stochastic methods for solving constraint satisfaction (CSP) and fuzzy constraint satisfaction problems (FCSP). The purpose of this paper is to study the abilities of learning automaton in solving these problems and comparing it with other stochastic methods. The results confirm those of [2] and show its superiority to other methods.

CSP, FCSP, Learning Automaton, Stochastic Algorithms, Genetic Algorithms