Smooth Tchebycheff Scalarization for Multi-Objective Optimization

arXiv:2402.19078v1 Announce Type: new
Abstract: Multi-objective optimization problems can be found in many real-world applications, where the objectives often conflict each other and cannot be optimized by a single solution. In the past few decades, numerous methods have been proposed to find Pareto solutions that represent different optimal trade-offs among the objectives for a given problem. However, these existing methods could have high computational complexity or may not have good theoretical properties for solving a general differentiable multi-objective optimization problem. …

abstract applications arxiv conflict cs.ai cs.lg cs.ne found math.oc multi-objective optimization pareto solution solutions trade type world