---
res:
  bibo_abstract:
  - The liner shipping fleet repositioning problem (LSFRP) is a central optimization
    problem within the container shipping industry. Several approaches exist for solving
    this problem using exact and heuristic techniques, however all of them use a single
    objective function for determining an optimal solution. We propose a multi-objective
    approach based on a simulated annealing heuristic so that repositioning coordinators
    can better balance profit making with cost-savings and environmental sustainability.
    As the first multi-objective approach in the area of liner shipping routing, we
    show that giving more options to decision makers need not be costly. Indeed, our
    approach requires no extra runtime than a weighted objective heuristic and provides
    a rich set of solutions along the Pareto front.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: K
      foaf_name: Tierney, K
      foaf_surname: Tierney
  - foaf_Person:
      foaf_givenName: J
      foaf_name: Handali, J
      foaf_surname: Handali
  - foaf_Person:
      foaf_givenName: C
      foaf_name: Grimme, C
      foaf_surname: Grimme
  - foaf_Person:
      foaf_givenName: Heike
      foaf_name: Trautmann, Heike
      foaf_surname: Trautmann
      foaf_workInfoHomepage: http://www.librecat.org/personId=100740
    orcid: 0000-0002-9788-8282
  bibo_doi: 10.1007/978-3-319-54157-0_42
  dct_date: 2017^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/978-3-319-54157-0
  dct_language: eng
  dct_publisher: Springer International Publishing@
  dct_title: Multi-objective Optimization for Liner Shipping Fleet Repositioning@
...