Research on multi-user air cargo route selection based on improved genetic algorithm

Issue title: Special Section: Fuzzy Logic for Analysis of Clinical Diagnosis and Decision-Making in Health Care

Article type: Research Article

Authors: Zhao, Lei^{; *}

Affiliations: Department of Sociology, Wuhan University, Wuhan, Hubei, China

Correspondence: [*] Corresponding author. Lei Zhao, Department of Sociology, Wuhan University, Wuhan, Hubei, 430072, China. E-mail: [email protected].

Abstract:  The article combines mathematical models to describe the multi-customer air cargo routing problem. Aiming at the coding problems in standard genetic algorithms and the large number of non-feasible solutions after crossover and mutation, this paper proposes a new feasible method–two-generation competition and steady-state genetic operator design. Finally, the model solving method and steps based on improved genetic algorithm are given. The example calculation shows that the method can provide scientific and effective support for the decision of the route selection problem in the air cargo system.

Keywords: Improved genetic algorithm, multi-user transportation, air cargo, route optimization

DOI: 10.3233/JIFS-179378

Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 39-46, 2020