globalchange  > 全球变化的国际研究计划
DOI: 10.1007/s11750-019-00505-5
WOS记录号: WOS:000472952300009
论文题名:
Reducing pollutant emissions in a waste collection vehicle routing problem using a variable neighborhood tabu search algorithm: a case study
作者: Carlos Molina, Jose; Eguia, Ignacio; Racero, Jesus
通讯作者: Carlos Molina, Jose
刊名: TOP
ISSN: 1134-5764
EISSN: 1863-8279
出版年: 2019
卷: 27, 期:2, 页码:253-287
语种: 英语
英文关键词: Waste collection vehicle routing problem ; Variable neighborhood tabu search ; COPERT model equations ; Pollutant emissions
WOS关键词: GREENHOUSE-GAS EMISSIONS ; OPTIMIZATION APPROACH ; FLEET SIZE ; ROUTES ; REDUCTION ; TIMES
WOS学科分类: Operations Research & Management Science
WOS研究方向: Operations Research & Management Science
英文摘要:

This paper focuses on designing waste collection routes with a single landfill using eco-efficiency as a performance indicator. In this problem, there are a limited number of heterogeneous vehicles based at a single depot. Empty vehicles leave the depot, collect waste from a set of locations and drop off the collected waste at a specific landfill. Then, vehicles leave the landfill and may collect more waste from other locations or return empty to the depot. Traditional performance indicators in vehicle routing problems are mainly focused on economic objectives, not explicitly considering environmental issues. In this paper, a mathematical model is presented with an eco-efficient objective function that takes into account external costs (climate change and air pollution). The COPERT model is used for estimating fuel consumption, carbon dioxide and pollutant emissions. The problem is first heuristically solved using a semi-parallel construction algorithm. Then, solutions are improved by a variable neighborhood tabu search algorithm developed for this problem. The algorithm is validated for a real problem in the municipality of Alcala de Guadaira, within the metropolitan area of Seville (Spain). Results obtained on a set of case studies improve the solution that is currently implemented in the municipality, in terms of total distance traveled, carbon dioxide emissions and pollutant emissions.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/142573
Appears in Collections:全球变化的国际研究计划

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作者单位: Univ Seville, Escuela Super Ingn, Camino Descubrimientos S-N, Seville 41092, Spain

Recommended Citation:
Carlos Molina, Jose,Eguia, Ignacio,Racero, Jesus. Reducing pollutant emissions in a waste collection vehicle routing problem using a variable neighborhood tabu search algorithm: a case study[J]. TOP,2019-01-01,27(2):253-287
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