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A literature review on the vehicle routing problem with multiple depots
JR Montoya-Torres, JL Franco, SN Isaza… - Computers & Industrial …, 2015 - Elsevier
In this paper, we present a state-of-the-art survey on the vehicle routing problem with
multiple depots (MDVRP). Our review considered papers published between 1988 and …
multiple depots (MDVRP). Our review considered papers published between 1988 and …
Computational intelligence and optimization for transportation big data: challenges and opportunities
EI Vlahogianni - … and Applied Sciences Optimization: Dedicated to the …, 2015 - Springer
With the overwhelming amount of transportation data being gathered worldwide, Intelligent
Transportation Systems (ITS) are faced with several modeling challenges. New modeling …
Transportation Systems (ITS) are faced with several modeling challenges. New modeling …
[HTML][HTML] Evolutionary optimization for disaster relief operations: A survey
Effective planning and scheduling of relief operations play a key role in saving lives and
reducing damage in disasters. These emergency operations involve a variety of challenging …
reducing damage in disasters. These emergency operations involve a variety of challenging …
How to improve WEEE management? Novel approach in mobile collection with application of artificial intelligence
In global demand of improvement of electrical and electronic waste management systems,
stakeholders look for effective collection systems that generate minimal costs. In this study …
stakeholders look for effective collection systems that generate minimal costs. In this study …
The impact of Collaborative Transportation Management on supply chain performance: A simulation approach
FTS Chan, T Zhang - Expert Systems with Applications, 2011 - Elsevier
Collaborative Transportation Management (CTM) is based on the interaction and
collaboration between trading partners and carriers participated in the supply chain …
collaboration between trading partners and carriers participated in the supply chain …
Lean road transportation–a systematic method for the improvement of road transport operations
Road transportation has become an important factor in international trade and the
management of supply chains. However, this form of product logistics has generally been …
management of supply chains. However, this form of product logistics has generally been …
A multi-objective optimization for supply chain network using the bees algorithm
A supply chain is a complex network which involves the products, services and information
flows between suppliers and customers. A typical supply chain is composed of different …
flows between suppliers and customers. A typical supply chain is composed of different …
[PDF][PDF] A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls
The Multi-Depot Vehicle Routing Problem with Backhauls (MDVRPB) is an operational
problem of the supply chain management. The MDVRPB considers a supply chain involving …
problem of the supply chain management. The MDVRPB considers a supply chain involving …
Data-driven multi-objective affective product design integrating three-dimensional form and color
Z Wang, W Liu, M Yang - Neural Computing and Applications, 2022 - Springer
Abstract Three-dimensional (3D) form and color are the main appearance elements that
arouse product emotion. To use more complete data of appearance and emotion and their …
arouse product emotion. To use more complete data of appearance and emotion and their …
Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem
In this paper, a multi-objective project scheduling problem is addressed. This problem
considers two conflicting, priority optimization objectives for project managers. One of these …
considers two conflicting, priority optimization objectives for project managers. One of these …