467.600 PEOPLE
| People | Locations | Statistics |
|---|---|---|
| Serhiienko, Serhii |
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| Schmalz, Ulrike |
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| Oliveira, Marisa |
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| Ribeiro Pereira, Maria Teresa |
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| Bellér, Gábor |
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| Araujo, M. |
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| Frey, Michael | Karlsruhe |
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| Coutinho-Rodrigues, João | Coimbra |
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| Wouters, Christian Guillaume Louise | Aachen |
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| Kessel, Paul J. Van Van |
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| Árpád, István |
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| Fontul, Simona |
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| Kocsis, Dénes |
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| Cigada, Alfredo | Milan |
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| Oort, Neils Van | Delft |
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| Agárdi, Anita | Miskolc |
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| Andrews, Gordon E. |
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| Sousa, Nuno |
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| Witlox, Frank Jacomina Albert | Ghent |
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| Dobruszkes, Frederic |
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| Kiss, Judit T. |
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| Hadachi, Amnir | Saint-Étienne-du-Rouvray |
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| Hamilton, Carl J. | Kunovice |
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| Misiura, Serhii |
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| Schimpf, Marina |
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Agárdi, Anita
University of Miskolc
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications
- 2023Fitness Landscape Analysis of Population-Based Heuristics in Solving a Complex Vehicle Routing Problem
- 2023Analysis of the Multi-Objective Optimisation Techniques in Solving a Complex Vehicle Routing Problem
- 2021Ant Colony Algorithms For The Vehicle Routing Problem With Time Window, Period And Multiple Depots
- 2021Comparision of the walk techniques for fitness state space analysis in vehicle routing problem
- 2021An Attraction Map Framework of a Complex Multi-Echelon Vehicle Routing Problem with Random Walk Analysiscitations
- 2020Fitness Landscape Analysis and Edge Weighting-Based Optimization of Vehicle Routing Problemscitations
- 2019Two - Echelon Vehicle Routing Problem with Recharge Stationscitations
Places of action
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Analysis of the Multi-Objective Optimisation Techniques in Solving a Complex Vehicle Routing Problem
Topics
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