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Sustainability 2018, 10(3), 793;

An Improved Cuckoo Search for a Patient Transportation Problem with Consideration of Reducing Transport Emissions

Nanomedicine Lab, Univ. Bourgogne Franche-Comté, UTBM, 25030 Besancon, France
School of Management, Shanghai University, 99 ShangDa Road, BaoShan District, Shanghai 200444, China
Shanghai No.3 Rehabilitation Hospital, 100 JiaoCheng Road, JingAn District, Shanghai 200072, China
Authors to whom correspondence should be addressed.
Received: 26 January 2018 / Revised: 5 March 2018 / Accepted: 7 March 2018 / Published: 13 March 2018
(This article belongs to the Section Sustainable Transportation)
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Many government agencies and business organizations have realized that it is necessary to consider not only the economic cost but also the road transport emissions when they determine the transport policies and operations. In this study, a patient transportation problem with the aim of reducing transport emissions has been formulated by implementing CVRP model. In order to determine the routes of patient transportation with optimized emissions for targeted hospital, an improved Cuckoo Search (ICS) algorithm is proposed. In this study, a ‘split’ procedure has been implemented to simplify the individual’s representation. A new category of cuckoos has been introduced to improve the ICS’s search ability. Two heuristics have been applied to improve the quality of initial population. A local search mechanism has been embedded in the search procedure to improve the quality of solutions obtained at the end of each iteration. The computational results were encouraging and demonstrated the effectiveness of the proposed solution method. View Full-Text
Keywords: vehicle routing; transport emissions; patient transportation vehicle routing; transport emissions; patient transportation

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Xiao, L.; Dridi, M.; Hajjam El Hassani, A.; Fei, H.; Lin, W. An Improved Cuckoo Search for a Patient Transportation Problem with Consideration of Reducing Transport Emissions. Sustainability 2018, 10, 793.

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