Computer Science, Artificial Intelligence
; Computer Science, Information Systems
; Telecommunications
WOS研究方向:
Computer Science
; Telecommunications
英文摘要:
Green logistics is an emerging area in supply chain management, which has been shown to have tremendous impacts in recent years to face the serious climate changes risks. In this paper, the fuel consumption and fuzzy travel time have been delineated in developing and solving the green-fuzzy vehicle routing problem as an extension of the celebrated VRP in which routes are performed to reduce the total expenditure. Different from the existing solution manners, we transform the original fuzzy chance constrained programming model into an equivalent deterministic model, and then revise the original hybrid intelligent algorithm by replacing the embedded fuzzy simulation with analytical function calculation. Finally, a comparative study with the corresponding literature is performed, which shows that the revised algorithm can not only improve the solution accuracy but also shorten the runtime greatly.
1.Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China 2.Univ Ghent, Fac Econ & Business Adm, B-9000 Ghent, Belgium 3.Monash Univ, Dept Econometr & Business Stat, Clayton, Vic 3800, Australia
Recommended Citation:
Wang, Ruonan,Zhou, Jian,Yi, Xiajie,et al. Solving the green-fuzzy vehicle routing problem using a revised hybrid intelligent algorithm[J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING,2019-01-01,10(1):321-332