An Improved Genetic Algorithm to Optimize Vehicle Scheduling for Relief Efforts

The vehicle scheduling problem is a typical multi-objective optimization problem. It is a core logistics dispatching problem and the key to realize system optimization. Optimizing vehicle scheduling for relief efforts has important practical significance and can be applied to a broader range of appl...

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Bibliographic Details
Published in:International journal of performability engineering 2019, Vol.15 (9), p.2356
Main Authors: You, Zhou, Lecheng, Sun, Xu, Zhou, Milan, Parmar, Liupu, Wang
Format: Article
Language:English
Subjects:
Genetic algorithms
Logistics
Multiple objective analysis
Optimization
Scheduling
Scheduling algorithms
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Summary:The vehicle scheduling problem is a typical multi-objective optimization problem. It is a core logistics dispatching problem and the key to realize system optimization. Optimizing vehicle scheduling for relief efforts has important practical significance and can be applied to a broader range of applications. Compared with other vehicle scheduling problems, vehicle optimal scheduling for relief efforts is mostly used to perform spot delivery or security tasks. In this paper, we propose an improved genetic algorithm and apply it to solve the vehicle scheduling problem for relief efforts in the equipment technical area. The experimental results demonstrate the effectiveness and robustness of our proposed algorithm.
ISSN:0973-1318
DOI:10.23940/ijpe.19.09.p8.23562363