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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.2
- 수록면
- 1 - 11 (11page)
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초록· 키워드
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Reasonably and effectively formulating the best route for urban waste transportation vehicle is particularly important for realizing low carbon and environmental protection of Green China construction concept. However, the current path planning method has shortcomings such as local optimization. In order to solve this problem, this paper aims at low carbon and environmental protection construction needs and proposes a routing optimization method of waste transportation vehicles based on improved ant colony algorithm. Firstly, the mathematical model of Vehicle Routing Problem (VRP) is constructed by considering transportation distance and carbon emissions cost. Then, network parameters in traditional ant colony algorithm are combined and optimized to realize self-adaptive update in the whole cycle. Furthermore, the neighborhood algorithm is used to iteratively optimize improved algorithm to avoid the defects of local optimization when solving VRP problem. Finally, the simulation results based on an actual dataset in North China show that the proposed method can achieve efficient and accurate optimal routing optimization for complex samples, and its solution stability index is P<SUB>best</SUB> is 0.87 and the average deviation is V<SUB>ar</SUB> is 0.011, the lowest distribution cost after optimization is about 3,080 yuan, which are better than the comparison methods.
목차
ABSTRACT
1. Introduction
2. Problem Description and Model Construction
3. Routing Optimization of Waste Transportation Vehicles Based on Improved Ant Colony Algorithm
4. Case Study and Verification
5. Conclusions
References
참고문헌 (25)
참고문헌 신청
Elgarej M, Mansouri K, Youssfi M, Nezha B, Fazazi EL. Distributed Swarm Optimization Modeling for Waste Collection Vehicle Routing Problem. Int. J. Adv. Comput. SC. 2017;8(9):306-312.
Vu HL, Bolingbroke D, Ng KTW. Assessment of waste characteristics and their impact on GIS vehicle collection route optimization using ANN waste forecasts. Waste. Manage. 2019;88(1):118-130.
Rybnytska O, Burstein F, Rybin AV. Decision support for optimizing waste management. J. Decis. Syst. 2018;27(1):68-78.
Zhang SQ, Mu D, Wang C. A Solution for the Full-load Collection Vehicle Routing Problem with Multiple Trips and Demands: An Application in Beijing. IEEE. Access. 2020;8(1):89381-89394.
Codu MK, Yilmaz M, Codur MY. Arc Routing Problem Approach for Reducing Exhaust Gas Emission in Road Transportation: A Case Study of Erzurum. Fresen. Environ. Bull. 2019;28(10):7196-7205.
Vu HL, Bolingbroke D, Ng KTW. Assessment of waste characteristics and their impact on GIS vehicle collection route optimization using ANN waste forecasts. Waste. Manage. 2019;88(1):118-130.
Rybnytska O, Burstein F, Rybin AV. Decision support for optimizing waste management. J. Decis. Syst. 2018;27(1):68-78.
Zhang SQ, Mu D, Wang C. A Solution for the Full-load Collection Vehicle Routing Problem with Multiple Trips and Demands: An Application in Beijing. IEEE. Access. 2020;8(1):89381-89394.
Codu MK, Yilmaz M, Codur MY. Arc Routing Problem Approach for Reducing Exhaust Gas Emission in Road Transportation: A Case Study of Erzurum. Fresen. Environ. Bull. 2019;28(10):7196-7205.
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