Abstract Due to the complex environmental constraints in the field of transport and logistics, optimization for the vehicle fuel consumption problem satisfies not only one criterion but also several criteria. In this paper, a novel multi-objective method for an optimal vehicle traveling based on Whale optimization algorithm (WOA) is proposed. In the proposed method, two criteria of distance and path-travel gasoline of the vehicle traveling issue are transformed into a minimization one. The vehicle routing and traffic status in the environmental transportation are considered to model the fitness function for the solution in WOA. The path of the globally best whale in each iteration is selected, and reached by the vehicles in sequence. In addition, the information of traffic status updates to vehicle periodically times from traffic navigation system during the traveling. Series scenarios of simulations are implemented in different traffic environments for the optimal paths when the vehicles reached the destination. The results show that the proposed method provides the confirm the practicality of the model of transport and logistics, and this proposed method may be the alternative method of optimization for the vehicle traveling in the logistics.
A Multi-Objective Optimal Vehicle Fuel Consumption Based on Whale Optimization Algorithm
2016-11-22
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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