Genetic Algorithm of Constrained Optimization

Aiming at the special problem of constrained optimization, multi-genus group genetic algorithm based on independence inches is presented. A known function was defined and inch was divided according to group, and fitness value was calculated. Each inch was selected to form crossness-pools, Single point was crossed respectively and then fitness value was calculated again, next genus group was selected. Genetic algorithm is applicable in optimization problem of fuzzy controller in nonlinear system.

Перевод пока недоступен