Hybrid column generation and large neighborhood search for the dial-a-ride problem

  • Authors:
  • Sophie N. Parragh;Verena Schmid

  • Affiliations:
  • Department of Business Administration, University of Vienna, Vienna, Austria;Department of Business Administration, University of Vienna, Vienna, Austria and Centro para la Optimizacióny Probabilidad Aplicada (COPA), Departamento de Ingeniería Industrial, Univers ...

  • Venue:
  • Computers and Operations Research
  • Year:
  • 2013

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Abstract

Demographic change towards an ever aging population entails an increasing demand for specialized transportation systems to complement the traditional public means of transportation. Typically, users place transportation requests, specifying a pickup and a drop off location and a fleet of minibuses or taxis is used to serve these requests. The underlying optimization problem can be modeled as a dial-a-ride problem. In the dial-a-ride problem considered in this paper, total routing costs are minimized while respecting time window, maximum user ride time, maximum route duration, and vehicle capacity restrictions. We propose a hybrid column generation and large neighborhood search algorithm and compare different hybridization strategies on a set of benchmark instances from the literature.