A new fuzzy-based adaptive simulated annealing genetic algorithm in distribution network reconfiguration

This reconstruction of the distribution network conducted a study,made light of the actual objective function of distribution network reconfiguration,and in which genetic algorithm is used to solve this complex, multi-objective,multi-constraint combinatorial optimization problem.Slow convergence of genetic algorithms, easy toprematureand other shortcomings,combined with fuzzy reasoning,simulated annealing algorithm and adaptive mechanism,an improved genetic algorithm-Fuzzy Adaptive simulated annealing genetic algorithm (FASAGA),case analysis shows that The algorithm than the standard genetic algorithm(SGA) has a faster convergence speed and optimization results.