Results 151 to 160 of about 11,225 (197)

Enhancing Last-Mile Logistics: AI-Driven Fleet Optimization, Mixed Reality, and Large Language Model Assistants for Warehouse Operations. [PDF]

Sensors (Basel)
Ieva S, Bilenchi I, Gramegna F, Pinto A, Scioscia F, Ruta M, Loseto G.   +6 more
europepmc   +1 more source

An improved multi-strategy equilibrium optimizer for surface marine vehicle path planning. [PDF]

Sci Rep
Yu J, Lu Y, Karimi HR, Zhu D, Li B, Wang Y.   +5 more
europepmc   +1 more source

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Capacitated vehicle routing problem

2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA), 2017
Vehicle routing problem (VRP) involves minimizing total route length while visiting each customer location exactly once. In capacitated vehicle routing problem the nodal demand of the vehicle need to be satisfied. For large scale problem use of clustering approach can improve the solution.
Tejal Carwalo, Jerin Thankappan, Vandana Patil   +2 more
openaire   +1 more source

Vehicle routing problem and capacitated vehicle routing problem frameworks in fund allocation problem

AIP Conference Proceedings, 2016
Two new methods adopted from methods commonly used in the field of transportation and logistics are proposed to solve a specific issue of investment allocation problem. Vehicle routing problem and capacitated vehicle routing methods are applied to optimize the fund allocation of a portfolio of investment assets. This is done by determining the sequence
Nur Jumaadzan Zaleha Mamat, Saiful Hafizah Jaaman, Rokiah@Rozita Ahmad   +2 more
openaire   +1 more source

On the capacitated vehicle routing problem

Mathematical Programming, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ralphs, T. K., Kopman, L., Pulleyblank, W. R., Trotter, L. E.   +3 more
openaire   +2 more sources

The lexicographical capacitated vehicle routing problem

2017 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2017
The objective of the Capacitated Vehicle Routing Problem is to find routes with minimal cost for a homogeneous fleet of vehicles to serve all the customers, without violating the capacity of the vehicles. Usually, in the basic version of the problem a set of identical vehicles, with a known capacity, is available at the depot and additional objective ...
Zuzana Borcinova, Stefan Pesko
openaire   +1 more source

Heuristic Procedures for the Capacitated Vehicle Routing Problem

Computational Optimization and Applications, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Campos, V., Mota, E.
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Evolutionary hyperheuristic for capacitated vehicle routing problem

Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, 2013
In this paper a novel constructive hyperheuristic for CVRP is proposed. This hyperheuristic, called HyperPOEMS, is based on an evolutionary-based iterative local search algorithm. Its inherent characteristics make it capable of autonomously searching a structured space of low-level domain specific heuristics for their suitable combinations that produce
Jaromír Mlejnek, Jiří Kubalik
openaire   +1 more source

Capacitated Vehicle Routing Problem with Time Windows

2021
Since distribution activities have great importance for firms, supply management is a widely studied concept in many sectors. This study demonstrates an application of a Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). The problem is in the form of a fixed destination multi depots visited by multi-travelling salesmen and the distance ...
Aleyna Tanel, Begüm Kınay, Deniz Karakul, Efecan Özyörük, Elif İskifoğlu, Ezgi Özoğul, Meryem Ustaoğlu, Damla Yüksel, Mustafa Arslan Örnek   +8 more
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Capacitated Vehicle Routing Problem with Fuzzy Demand

2003
The capacitated vehicle routing problem with fuzzy demand is considered. Since customers’ demand is not precisely known in advance, but is given as uncertain quantities, i.e. as fuzzy numbers, a recommended route may not meet each demand for capacity reasons.
Brigitte Werners, Michael Drawe
openaire   +1 more source