Simple Problems: The Simplicial Gluing Structure of Pareto Sets and Pareto Fronts
Naoki Hamada

TL;DR
This paper provides a theoretical foundation for the observed simplex-like topological structure of Pareto sets and fronts in simple multi-objective optimization problems, explaining their gluing structure and analyzing benchmark problems.
Contribution
It proves the gluing structure of Pareto sets and fronts in simple problems, offering a theoretical justification for their simplex-like topology.
Findings
Pareto sets and fronts of simple problems form a gluing structure
Standard benchmark problems exhibit the simplicity property
Theoretical justification for the topological structure of Pareto sets
Abstract
Quite a few studies on real-world applications of multi-objective optimization reported that their Pareto sets and Pareto fronts form a topological simplex. Such a class of problems was recently named the simple problems, and their Pareto set and Pareto front were observed to have a gluing structure similar to the faces of a simplex. This paper gives a theoretical justification for that observation by proving the gluing structure of the Pareto sets/fronts of subproblems of a simple problem. The simplicity of standard benchmark problems is studied.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Multi-Objective Optimization Algorithms · Manufacturing Process and Optimization · Topology Optimization in Engineering
