Solving the clique partitioning problem as a maximally diverse grouping problem - Université Polytechnique des Hauts-de-France Access content directly
Journal Articles Optimization Letters Year : 2017

Solving the clique partitioning problem as a maximally diverse grouping problem

Abstract

In this paper we show that the clique partitioning problem can be reformulated in an equivalent form as the maximally diverse grouping problem (MDGP). We then modify a skewed general variable neighborhood search (SGVNS) heuristic that was first developed to solve the MDGP. Similarly as with the MDGP, significant improvements over the state of the art are obtained when SGVNS is tested on large scale instances. This further confirms the usefulness of a combined approach of diversification afforded with skewed VNS and intensification afforded with the local search in general VNS.
No file

Dates and versions

hal-03402185 , version 1 (25-10-2021)

Identifiers

Cite

Jack Brimberg, Stefana Janićijević, Nenad Mladenovic, Dragan Urošević. Solving the clique partitioning problem as a maximally diverse grouping problem. Optimization Letters, 2017, 11 (6), pp.1-13. ⟨10.1007/s11590-015-0869-4⟩. ⟨hal-03402185⟩
5 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More