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Sep 21, 2015
Application of an Improved Genetic Algorithm to the Path Optimization of Urban Medical Waste Recovery
Publication: ICTE 2015
Abstract
Aim of the study is to build a VRPTW to improve the recovery of medical waste in China. Both capacity limit and duration time are considered to meet the characteristics of medical waste that it is time-sensitive in the recovery process and enhance recovery efficiency. The model is solved by using improved genetic algorithm (GA), which can avoid dropping into local optimum by adding reverse evolution operation after crossover operation. Finally, the real-world data are collected from 30 medical units and the results show that managers just need to two vehicles to satisfy their demand and the loads and recovery time of each vehicle are 2265kg, 1935kg and 1.5979 h and 3.2532 h respectively. The travel paths of each vehicle are also scheduled.
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© 2015 American Society of Civil Engineers.
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Published online: Sep 21, 2015
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School of Transportation and Logistics, Southwest Jiaotong University, No. 111, North 1st Section of Second Ring Rd., Jinniu District, Chengdu 610031, China. E-mail: [email protected]
National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu 610031, China.
School of Transportation and Logistics, Southwest Jiaotong University, No. 111, North 1st Section of Second Ring Rd., Jinniu District, Chengdu 610031, China. E-mail: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.