Breeder genetic algorithm based fuzzy simulation

Fuzzy simulation is often required in fuzzy programming. In this paper, we propose the application of breeder genetic algorithm (BGA) to compute possibility and find critical values. BGA is a kind of genetic algorithm, which is especially powerful and reliable in global searching. Experiments show that BGA based fuzzy simulation has a better performance.