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International Journal of Supply and Operations Management، جلد ۲، شماره ۲، صفحات ۷۸۴-۷۹۷
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| عنوان فارسی |
A Novel Heuristic Algorithm Based on Clark and Wright Algorithm for Green Vehicle Routing Problem |
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| چکیده فارسی مقاله |
A significant portion of Gross Domestic Production (GDP) in any country belongs to the transportation system. Transportation equipment, in the other hand, is supposed to be great consumer of oil products. Many attempts have been assigned to the vehicles to cut down Greenhouse Gas (GHG). In this paper a novel heuristic algorithm based on Clark and Wright Algorithm called Green Clark and Wright (GCW) for Vehicle Routing Problem regarding to fuel consumption is presented. The objective function is fuel consumption, drivers, and the usage of vehicles. Being compared to exact methods solutions for small-sized problems and to Differential Evolution (DE) algorithm solutions for large-scaled problems, the results show efficient performance of the proposed GCW algorithm. |
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| کلیدواژههای فارسی مقاله |
Microscopic Emission Models ، Green Vehicle Routing Problem (GVRP) ، Clark and Wright Algorithm ، Differential Evolution (DE) Algorithm ، |
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| عنوان انگلیسی |
A Novel Heuristic Algorithm Based on Clark and Wright Algorithm for Green Vehicle Routing Problem |
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| چکیده انگلیسی مقاله |
A significant portion of Gross Domestic Production (GDP) in any country belongs to the transportation system. Transportation equipment, in the other hand, is supposed to be great consumer of oil products. Many attempts have been assigned to the vehicles to cut down Greenhouse Gas (GHG). In this paper a novel heuristic algorithm based on Clark and Wright Algorithm called Green Clark and Wright (GCW) for Vehicle Routing Problem regarding to fuel consumption is presented. The objective function is fuel consumption, drivers, and the usage of vehicles. Being compared to exact methods solutions for small-sized problems and to Differential Evolution (DE) algorithm solutions for large-scaled problems, the results show efficient performance of the proposed GCW algorithm. |
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| کلیدواژههای انگلیسی مقاله |
Microscopic Emission Models , Green Vehicle Routing Problem (GVRP) , Clark and Wright Algorithm , Differential Evolution (DE) Algorithm , |
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| نویسندگان مقاله |
| mehdi alinaghian
department of industrial and systems engineering, isfahan university of technology, isfahan, iran
سازمان اصلی تایید شده: دانشگاه صنعتی اصفهان (Isfahan university of technology)
| zahra kaviani
department of industrial and systems engineering, isfahan university of technology, isfahan, iran
سازمان اصلی تایید شده: دانشگاه صنعتی اصفهان (Isfahan university of technology)
| siyavash khaledan
department of industrial engineering at iran university of science and technology, tehran, iran
سازمان اصلی تایید شده: دانشگاه علم و صنعت ایران (Iran university of science and technology)
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| نشانی اینترنتی |
http://system.khu.ac.ir/ijsom/browse.php?a_code=A-10-100-51&slc_lang=en&sid=en |
| فایل مقاله |
دریافت فایل مقاله |
| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
Artificial intelligence & expert system |
| نوع مقاله منتشر شده |
Research paper |
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