Finding diverse solutions to optimization problems has been of practical interest for several decades, and recently enjoyed increasing attention in research. While submodular …
In recent years, continuous metaheuristics have been a trend in solving binary-based combinatorial problems due to their good results. However, to use this type of …
T Matsuoka, S Ito - Asian Conference on Machine Learning, 2024 - proceedings.mlr.press
Abstract\emph {Finding diverse solutions} to combinatorial optimization problems is beneficial for a deeper understanding of complicated real-world problems and for simpler …
M de Berg, AL Martínez, F Spieksma - arXiv preprint arXiv:2303.07290, 2023 - arxiv.org
Recently, many studies have been devoted to finding diverse solutions in classical combinatorial problems, such as VERTEX COVER (Baste et al., IJCAI'20), MATCHING …
There has been a long-standing interest in computing diverse solutions to optimization problems. In 1995 J. Krarup posed the problem of finding k-edge disjoint Hamiltonian …
Creating diverse sets of high quality solutions has become an important problem in recent years. Previous works on diverse solutions problems consider solutions' objective quality …
Y Shida, G Punzi, Y Kobayashi, T Uno… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we study for the first time the Diverse Longest Common Subsequences (LCSs) problem under Hamming distance. Given a set of a constant number of input strings, the …
D Antipov, A Neumann, FN Sutton… - arXiv preprint arXiv …, 2024 - arxiv.org
The diversity optimization is the class of optimization problems, in which we aim at finding a diverse set of good solutions. One of the frequently used approaches to solve such problems …
K Drabik, T Masařík - arXiv preprint arXiv:2405.20931, 2024 - arxiv.org
Finding a few solutions for a given problem that are diverse, as opposed to finding a single best solution to solve the problem, has recently become a notable topic in theoretical …