This paper takes the vehicles scheduling of hazardous materials as the research object. First, considered the four objectives of risk minimization, cost minimization, risk equilibrium value minimization, and duration minimization, the vehicles robust scheduling of hazardous materials in multiple distribution centers with risk balance is constructed. Then, uncertain models are transformed into peer‐to‐peer models through the idea of robust discrete optimization. By introducing the crossover and mutation operators of genetic algorithm into particle swarm algorithm, a hybrid particle swarm algorithm is constructed, and three‐stage coding rules are adopted. Finally, case study is exemplified to prove the feasibility of the model and algorithm. The results show that the obtained scheduling scheme for the vehicles of hazardous materials minimizes the risk value and makes the risk distribution more balanced for the government regulatory department, and the vehicle can avoid certain road sections with relatively large risk values. For transportation enterprises, the vehicle scheduling scheme for transporting hazardous materials minimizes the cost and shortens the task duration at the same time. In the case of risk uncertainty, different robust control parameters are introduced to make the vehicles robust scheduling of hazardous materials have different degrees of stability.
Vehicles robust scheduling of hazardous materials based on hybrid particle swarm optimisation and genetic algorithm
IET Intelligent Transport Systems ; 14 , 14 ; 1955-1966
2020-12-01
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
flexible road transportation , hazardous materials , goods distribution , adaptable road transportation , urban roads , scheduling , cost minimisation , peer‐to‐peer models , scientific scheduling scheme , vehicles robust scheduling , mutation operators , genetic algorithm , robust discrete optimisation , transportation , government regulatory department , transportation enterprises , genetic algorithms , three‐stage coding rules , road sections , robust control parameters , risk distribution , particle swarm optimisation , risk equilibrium value minimisation , risk balance , crossover operators , hazardous material transportation , uncertain models , risk minimisation , hybrid particle swarm optimisation algorithm , risk uncertainty , minimisation , duration minimisation
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