The maximum weight stable set problem with a budget constraint

Author: 
Date created: 
2020-08-21
Identifier: 
etd21046
Keywords: 
Maximum weight stable set problem
Combinatorial optimization
Integer programming
Discrete optimization
Abstract: 

We consider the maximum weight stable set problem with an additional budget constraint (BSS) which is also known as the knapsack problem with conflict-pair constraints. A unifying 0-1 programming formulation is given that subsumes two well-studied formulations for the problem and we analyze the strength of the LP relaxation of this model. Also, we present an alternative view of the extended cover inequalities for the knapsack polytope and using this, along with other upper bounds on the stability number of a graph, strengthened 0-1 linear programming formulations of BSS are presented. Further, we study two binary quadratic formulations of BSS and explore the relationship between its linearizations and our 0-1 linear programming formulations. Results of extensive computational analysis carried out using our models are presented that compares various features of the models and their relative merits.

Document type: 
Thesis
Rights: 
This thesis may be printed or downloaded for non-commercial research and scholarly purposes. Copyright remains with the author.
File(s): 
Supervisor(s): 
Abraham Punnen
Department: 
Science: Department of Mathematics
Thesis type: 
(Thesis) M.Sc.
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