A genetic algorithm based vehicle management system for reducing greenhouse gas emission

King Lun Tommy Choy, David W.C. Wong, H. Y. Lam, T. C. Poon, Xiaodong Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

With the trend of manufacturing businesses moving from Hong Kong to Mainland China, the number of vehicles traveling between Hong Kong and southern China are increasing significantly. In such sense, the increasing amounts of corresponding greenhouse gases lead to more health concerns, such as hazard to the respiratory system of mankind. Therefore, it is essential to adopt a vehicle operation system for reducing greenhouse gas emissions. In this paper, a genetic algorithm based vehicle management model is proposed to determine green components of a new vehicle engine so as to reduce the greenhouse gases emission level.
Original languageEnglish
Title of host publicationPICMET'11 - Portland International Center for Management of Engineering and Technology, Proceedings - Technology Management in the Energy-Smart World
Publication statusPublished - 5 Oct 2011
EventPortland International Center for Management of Engineering and Technology - Technology Management in the Energy-Smart World, PICMET'11 - Portland, OR, United States
Duration: 31 Jul 20114 Aug 2011

Conference

ConferencePortland International Center for Management of Engineering and Technology - Technology Management in the Energy-Smart World, PICMET'11
CountryUnited States
CityPortland, OR
Period31/07/114/08/11

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Strategy and Management
  • Management Science and Operations Research
  • Management of Technology and Innovation

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