Optimal Reliable Path Search Optimization Based on Cornish-Fisher Expansion Method
The optimal reliable path problem has a wide application range in the field of transportation and geographic informa-tion.This paper establishes an optimal reliable path model based on the Cornish-Fisher expansion method and propose an opti-mization based on improved ant colony optimization.When updating the pheromone concentration.This paper adds Tent chaot-ic mapping,and loss function is added to the state transition probability to prevent the optimization from falling into a local op-timal solution.This paper continuously adjusts the volatility factor to speed up the convergence speed of the optimization.The research results show that the transit time of the optimal reliable path obtained based on the Cornish-Fisher expansion method is more accurate and stable.The improved ant colony optimization has faster convergence speed and stronger optimization ability.
万方数据
维普
