Research on Complex Network Quality Cost Optimization based on the Simulated Annealing and Parthenon-Genetic Algorithm
Qing Zhang · Mechanical & Electrical Engineering Technology · 2009
Based on the simulated annealing and Parthenon-Genetic Algorithm,a novel quality of the project cost optimization methods is developed with the background of urban transmission network construction projects and the purpose of Large-scale complex network construction cost optimization.Based on the Parthenon-Genetic Algorithm(PGA),the combination of simulated annealing algorithm and Parthenon-Genetic algorithm is researched.PGA is used to global search and SA is used to guide fine-tuning.At the same time,Paul excellent operation is imported for preventing Degradation of the whole Stocks.On this basis,the simulated annealing and Parthenon-Genetic Algorithm(SA-PGA) is raised.According to the principle of system reliability,quality costs are optimized by the simulated annealing and Parthenon-Genetic Algorithm with the base of quality cost model.The method is able to provide the optimal solution of quality cost and relatively accurately control the cost.An application program resulting in this method can be used to the reliability calculation of large complex network including the Urban transmission network and the coordination of reliability and economic.