@inbook{46357,
  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.}},
  author       = {{Tierney, K and Handali, J and Grimme, C and Trautmann, Heike}},
  booktitle    = {{Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings}},
  editor       = {{Trautmann, H and Rudolph, G and Klamroth, K and Schütze, O and Wiecek, M and Jin, Y and Grimme, C}},
  isbn         = {{978-3-319-54157-0}},
  pages        = {{622–638}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Multi-objective Optimization for Liner Shipping Fleet Repositioning}}},
  doi          = {{10.1007/978-3-319-54157-0_42}},
  year         = {{2017}},
}