Journal ArticleDOI
An improved optimization algorithm for a multi-depot vehicle routing problem considering carbon emissions
Xujin Pu,Xulong Lu,Guanghua Han +2 more
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This article is published in Environmental Science and Pollution Research.The article was published on 2022-03-21. It has received 6 citations till now. The article focuses on the topics: Medicine.read more
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Life cycle assessment of lithium nickel cobalt manganese oxide batteries and lithium iron phosphate batteries for electric vehicles in China
TL;DR: Li et al. as mentioned in this paper investigated the production, use, and recycling phases of power batteries based on life cycle assessment (LCA), and a Monte Carlo analysis was conducted to compare the two types of batteries under the greenhouse gas emission targets.
Journal ArticleDOI
A green location-inventory-routing optimization model with simultaneous pickup and delivery under disruption risks
TL;DR: In this article , the authors proposed an optimization model to design a green location-inventory-routing model with simultaneous pickup and delivery (P&D) under disruption risks, and the network's total costs were considered budget constraints.
Journal ArticleDOI
A two-stage heuristic solution for multi-depot collaborative pickup and delivery network with transfers to reduce carbon emissions
TL;DR: Wang et al. as mentioned in this paper investigated the impact of carbon emissions on a multi-depot collaborative pickup and delivery network with time windows and transfers (MDCPDPTW-Ts) and proposed a carbon emissions measurement to describe the relationship between fuel consumption and carbon emissions.
Journal ArticleDOI
A multi-center joint distribution optimization model considering carbon emissions and customer satisfaction.
TL;DR: In this paper , an improved ant colony algorithm is designed to solve the model by introducing the elite strategy, the saving strategy, vehicle service rules, and customer selection rules, which can effectively reduce the distribution cost and carbon emission and, improve customer satisfaction.
Journal ArticleDOI
Multi-objective optimization for AGV energy efficient scheduling problem with customer satisfaction
TL;DR: In this paper , a multi-objective non-linear programming model is developed to minimize energy consumption while maximizing workstation satisfaction by optimizing the pick-up and delivery processes of the AGV for material handling.
References
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BookDOI
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
TL;DR: Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways.
Journal ArticleDOI
The Truck Dispatching Problem
George B. Dantzig,J. H. Ramser +1 more
TL;DR: A procedure based on a linear programming formulation is given for obtaining a near optimal solution to the optimum routing of a fleet of gasoline delivery trucks between a bulk terminal and a large number of service stations supplied by the terminal.
Journal ArticleDOI
A Green Vehicle Routing Problem
Sevgi Erdogan,Elise Miller-Hooks +1 more
TL;DR: In this paper, a green vehicle routing problem (G-VRP) is formulated and solution techniques are developed to aid organizations with alternative fuel-powered vehicle fleets in overcoming difficulties that exist as a result of limited vehicle driving range in conjunction with limited refueling infrastructure.
Journal ArticleDOI
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. Complex Adaptive Systems.John H. Holland
TL;DR: Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence (Complex Adaptive Systems) BW-33030 US/Data/Computers-Technology 4/5 From 388 Reviews
Journal ArticleDOI
Chemical-Reaction-Inspired Metaheuristic for Optimization
Albert Y. S. Lam,Victor O. K. Li +1 more
TL;DR: This work proposes a new metaheuristic, called chemical reaction optimization (CRO), which mimics the interactions of molecules in a chemical reaction to reach a low energy stable state and can outperform all other metaheuristics when matched to the right problem type.