Title
A dual ascent heuristic for obtaining a lower bound of the generalized set partitioning problem with convexity constraints
Abstract
In this paper we propose a dual ascent heuristic for solving the linear relaxation of the generalized set partitioning problem with convexity constraints, which often models the master problem of a column generation approach. The generalized set partitioning problem contains at the same time set covering, set packing and set partitioning constraints. The proposed dual ascent heuristic is based on a reformulation and it uses Lagrangian relaxation and subgradient method. It is inspired by the dual ascent procedure already proposed in literature, but it is able to deal with right hand side greater than one, together with under and over coverage. To prove its validity, it has been applied to the minimum sum coloring problem, the multi-activity tour scheduling problem, and some newly generated instances. The reported computational results show the effectiveness of the proposed method.
Year
DOI
Venue
2019
10.1016/j.disopt.2019.05.001
Discrete Optimization
Keywords
Field
DocType
90-02,90C10
Column generation,Mathematical optimization,Heuristic,Convexity,Job shop scheduling,Subgradient method,Upper and lower bounds,Set packing,Lagrangian relaxation,Mathematics
Journal
Volume
ISSN
Citations 
33
1572-5286
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Stefania Pan100.68
Roberto Wolfler Calvo282348.28
Mahuna Akplogan300.34
Lucas Létocart411512.37
Nora Touati Moungla5102.93