Mobility Compass

Discover mobility and transportation research. Find experts, partners, networks.

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The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

To Graph

8.284 Topics available

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890 Locations available

479.575 PEOPLE
479.575 People People

479.575 People

Show results for 479.575 people that are selected by your search filters.

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PeopleLocationsStatistics
Ziakopoulos, ApostolosAthens
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Vigliani, AlessandroTurin
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Catani, JacopoRome
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Statheros, ThomasStevenage
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Utriainen, RoniTampere
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Guglieri, GiorgioTurin
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Martínez Sánchez, Joaquín
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Tobolar, Jakub
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Volodarets, M.
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Piwowar, Piotr
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Tennoy, AudOslo
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Matos, Ana Rita
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Cicevic, Svetlana
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Sommer, CarstenKassel
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Liu, Meiqi
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Pirdavani, AliHasselt
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Niklaß, Malte
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Lima, PedroBraga
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Turunen, Anu W.
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Antunes, Carlos Henggeler
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Krasnov, Oleg A.
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Lopes, Joao P.
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Turan, Osman
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Lučanin, VojkanBelgrade
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Tanaskovic, Jovan
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Carballedo, R.

  • Google
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in Cooperation with on an Cooperation-Score of 37%

Topics

  • routing
  • implementation
  • traveling salesman problem
  • back haul
  • optimisation
  • genetic algorithm
  • algorithm
  • crossover
  • packaging
  • expert system
  • island
  • show -19 more
  • show less

Publications

  • 2018Good practice proposal for the implementation, presentation, and comparison of metaheuristics for solving routing problems39citations
  • 2015An asymmetric multiple traveling salesman problem with backhauls to solve a dial-a-ride problem7citations
  • 2014On the influence of using initialization functions on genetic algorithms solving combinatorial optimization problems: A first study on the TSPcitations
  • 2014An adaptive multi-crossover population algorithm for solving routing problemscitations
  • 2014A study on the efficiency of neutral crossover operators in genetic algorithms applied to the bin packing problemcitations
  • 2014A study on the impact of heuristic initialization functions in a genetic algorithm solving the N-queens problem2citations
  • 2014AMCPA: A population metaheuristic with adaptive crossover probability and multi-crossover mechanism for solving combinatorial optimization problemscitations
  • 2014Comments on "albayrak, M., & Allahverdy N. (2011). Development a new mutation operator to solve the Traveling Salesman Problem by aid of genetic algorithms. Expert Systems with Applications, 38(3), 1313-1320": A proposal of good practice4citations
  • 2014A proposal of good practice in the formulation and comparison of meta-heuristics for solving routing problems3citations
  • 2013A multi-crossover and adaptive island based population algorithm for solving routing problems16citations

Places of action

Chart of shared publication
Perallos, A.
9 / 25 shared
Osaba, E.
10 / 24 shared
Diaz, F.
10 / 16 shared
Masegosa, Antonio D.
1 / 59 shared
Onieva, Enrique
10 / 92 shared
Lopez, P.
3 / 6 shared
De La Iglesia, I.
1 / 2 shared
Zhang, X.
1 / 44 shared
Chart of publication period
2018
2015
2014
2013

Co-Authors (by relevance)

  • Perallos, A.
  • Osaba, E.
  • Diaz, F.
  • Masegosa, Antonio D.
  • Onieva, Enrique
  • Lopez, P.
  • De La Iglesia, I.
  • Zhang, X.