Repulsion dynamics for uniform Pareto front approximation in multi-objective optimization problems

arXiv (Cornell University)

Abstract

Scalarization allows to solve a multi-objective optimization problem by solving many single-objective sub-problems, uniquely determined by some parameters. In this work, we propose several adaptive strategies to select such parameters in order to obtain a uniform approximation of the Pareto front. This is done by introducing a heuristic dynamics where the parameters interact through a binary repulsive potential. The approach aims to minimize the associated energy potential which is used to quantify the diversity of the computed solutions. A stochastic component is also added to overcome non-optimal energy configurations. Numerical experiments show the validity of the proposed approach for bi- and tri-objectives problems with different Pareto front geometries.

Authors 1

1. Giacomo Borghi corresponding Aachen Institute for Geometry and Applied Mathematics

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University , Institute for Geometry and Applied Mathematics , Aachen , Germany