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Conference Paper: A hybrid rolling horizon artificial bee colony algorithm approach for dynamic green bike repositioning problem

TitleA hybrid rolling horizon artificial bee colony algorithm approach for dynamic green bike repositioning problem
Authors
Shui, CSSzeto, WY
Issue Date2018
PublisherThe Institute for Operations Research and the Management Sciences.
Citation
2018 INFORMS International Conference, Taipei, Taiwan, 17-20 June 2018 How to Cite?
AbstractWe propose a dynamic green bike repositioning problem which reduces the total unmet demand of the bike-sharing system and total fuel and CO2 emission cost of the repositioning vehicle over a specific service time horizon. We adopt a rolling horizon approach to aggregate the proposed problem into a set of stages, in which a static bike repositioning sub-problem is solved in each stage by a combination of the enhanced artificial bee colony algorithm and two tailor-made heuristics. Numerical examples showed that weight setting is important for achieving a balance between the two objectives.
DescriptionTB12: Metaheuristics in Transportation
Persistent Identifierhttp://hdl.handle.net/10722/259884

 

DC FieldValueLanguage
dc.contributor.authorShui, CS-
dc.contributor.authorSzeto, WY-
dc.date.accessioned2018-09-03T04:15:40Z-
dc.date.available2018-09-03T04:15:40Z-
dc.date.issued2018-
dc.identifier.citation2018 INFORMS International Conference, Taipei, Taiwan, 17-20 June 2018-
dc.identifier.urihttp://hdl.handle.net/10722/259884-
dc.descriptionTB12: Metaheuristics in Transportation-
dc.description.abstractWe propose a dynamic green bike repositioning problem which reduces the total unmet demand of the bike-sharing system and total fuel and CO2 emission cost of the repositioning vehicle over a specific service time horizon. We adopt a rolling horizon approach to aggregate the proposed problem into a set of stages, in which a static bike repositioning sub-problem is solved in each stage by a combination of the enhanced artificial bee colony algorithm and two tailor-made heuristics. Numerical examples showed that weight setting is important for achieving a balance between the two objectives.-
dc.languageeng-
dc.publisherThe Institute for Operations Research and the Management Sciences. -
dc.relation.ispartofINFORMS International Conference-
dc.titleA hybrid rolling horizon artificial bee colony algorithm approach for dynamic green bike repositioning problem-
dc.typeConference_Paper-
dc.identifier.emailShui, CS: csshui@hku.hk-
dc.identifier.emailSzeto, WY: ceszeto@hku.hk-
dc.identifier.authoritySzeto, WY=rp01377-
dc.identifier.hkuros289902-
dc.publisher.placeTaipei, Taiwan-

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