Michael Drexl

Industrial and Manufacturing Engineering · 2012–2015

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Drexl trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jean-François Cordeau
  2. Teodor Gabriel Crainic
  3. Gianni Codato
  4. Baoding Liu
  5. Paolo Toth
  6. Christian Prins
  7. Michel Gendreau
  8. Olli Bräysy
  9. Gilbert Laporte
  10. Marco Laumanns

Who trusts Michael Drexl overall

  1. Kris Braekers
  2. Mitja Stiglic
  3. Niels A. H. Agatz
  4. Katrien Ramaekers
  5. Thibaut Vidal
  6. Inneke Van Nieuwenhuyse
  7. Rahma Lahyani
  8. Martin W. P. Savelsbergh
  9. Quang Minh Ha
  10. Diego Cattaruzza

Papers from Michael Drexl's perspective

Ordered by how strongly the researchers Michael Drexl trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Solving the capacitated location-routing problem by a GRASP complemented by a learning process and a path relinking (4OR)
  2. Partitioning procedures for solving mixed-variables programming problems
  3. The Granular Tabu Search and Its Application to the Vehicle-Routing Problem (INFORMS journal on computing)
  4. Distribution network design: New problems and related models (European Journal of Operational Research)
  5. A simulated annealing heuristic for the capacitated location routing problem (Computers & industrial engineering)
  6. Solving the Capacitated Location-Routing Problem by a Cooperative Lagrangean Relaxation-Granular Tabu Search Heuristic (Transportation Science)
  7. A guide to vehicle routing heuristics (Journal of the Operational Research Society)
  8. Models for Evaluating and Planning City Logistics Systems (Transportation Science)
  9. A unified tabu search heuristic for vehicle routing problems with time windows (Journal of the Operational Research Society)
  10. Heuristic solutions to multi-depot location-routing problems (Computers & Operations Research)

Their papers