Tuning the interval algorithm for seeking pareto sets of multi-criteria problems

  • Authors:
  • Bartłomiej Jacek Kubica;Adam Woźniak

  • Affiliations:
  • Institute of Control and Computation Engineering, Warsaw University of Technology, Poland;Institute of Control and Computation Engineering, Warsaw University of Technology, Poland

  • Venue:
  • PARA'12 Proceedings of the 11th international conference on Applied Parallel and Scientific Computing
  • Year:
  • 2012

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Abstract

The paper presents the authors' effort to optimize a previously developed interval method for solving multi-criteria problems [17]. The idea is to apply heuristics presented, e.g., in [27], [22], [26] and some new ones, to the Pareto set seeking method. Numerical experiments are presented and parallelization of the algorithm is considered. Based on the tuned algorithm, we propose a new approach to interactive multiple criteria decision making.