The Urban Path Routing Adjustable Optimization by Means of Wavelet Transform and Multistage Genetic Algorithm

Authors

Alireza Yekrangi Sendi Department of Mechanical Engineering, Ramsar Branch, Islamic Azad University, Ramsar, Iran

Ershad Sadeghi Toosi Department of Physics, Neka Branch, Islamic Azad University, Neka, Iran

Hamoon Pourmirzaagha Department of Mechanical Engineering, Ramsar Branch, Islamic Azad University, Ramsar, Iran

Mostafa Zakariapour Department of Mechanical Engineering, Ramsar Branch, Islamic Azad University, Ramsar, Iran

Seid Miad Zandavi Department of Aerospace Engineering, Sharif University of Technology, 1458889694 Tehran, Iran

Abstract:

This paper introduces the optimization algorithm to improve search rate in urban path routing problems using viral infection and local search in urban environment. This algorithm operates based on two different approaches including wavelet transform and genetic algorithm. The variables proposed by driver such as degree of difficulty and difficulty traffic are of the essence in this technique. Wavelet transform as the first part of proposed algorithm derives edges risk. Finally, multistage genetic algorithm operates to find the optimal solution which is defined as the shortest path. The proposed algorithm is applied to the case study. The performances of the algorithm is investigated by comparing with other methods.

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