Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7543459 | Discrete Optimization | 2018 | 26 Pages |
Abstract
In this article we will present a hybrid approach, which operates both in decision space and in objective space. The approach enables massive efficient parallelization and can be used to a wide variety of biobjective Mixed Integer Programming models. We test the approach on the biobjective extension of the classic traveling salesman problem, on the standard datasets, and determine the full set of nondominated points. This has only been done once before (Florios and Mavrotas, 2014), and in our approach we do it in a fraction of the time.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Control and Optimization
Authors
Thomas Stidsen, Kim Allan Andersen,