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A new Integer Linear Programming and Quadratically Constrained Quadratic Programming Formulation for Vertex Bisection Minimization Problem

TLDR
A new integer linear programming (ILP) and quadratically constrained quadratic programming (QCQP) formulation for VBMP is proposed and implemented and optimal results for various classes of graphs are obtained.
Abstract
Vertex Bisection Minimization problem (VBMP) consists of partitioning a vertex set V of graph G = (V, E) into two sets B and B′ where ∣B∣ = such that vertex width (VW) is minimized where vertex width is defined as the number of vertices in B which are adjacent to at least one vertex in B′. It is an NP-complete problem in general. VBMP has applications in fault tolerance and is related to the complexity of sending messages to processors in interconnection networks via vertex disjoint paths. In this paper, we have proposed a new integer linear programming (ILP) and quadratically constrained quadratic programming (QCQP) formulation for VBMP. Both of them require number of variables and constraints lesser than existing ILPs and QCQP. We have also implemented ILP and obtained optimal results for various classes of graphs. The result of the experiments with the benchmark graphs shows that the proposed model outperforms the state of the art. Moreover, proposed model obtains optimal result for all the benchmark graphs.

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Citations
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Journal ArticleDOI

A variable neighborhood search approach for the vertex bisection problem

TL;DR: This paper uses Basic Variable Neighborhood Search (BVNS) methodology to solve the Vertex Bisection Problem and introduces a novel scheme for calculating the objective function which substantially reduces the computing time as compared with the direct implementation.
Journal ArticleDOI

On minimizing vertex bisection using a memetic algorithm

TL;DR: A memetic algorithm has been designed for this problem (MAVBMP) in which four construction heuristics have been proposed to generate the initial population and a new crossover type search operator has been proposed for recombination and a local improvement operator has also been developed.
Journal ArticleDOI

Two efficient local search algorithms for the vertex bisection minimization problem

TL;DR: In this article , the authors developed two efficient local search algorithms for vertex bisection minimization problem (VBMP), namely, BVNSbucket and BVnsbucket2 .
Journal ArticleDOI

Two new integer linear programming formulations for the vertex bisection problem

TL;DR: Two new integer linear programming (ILP) formulations for VBP are proposed and the experimental results clearly indicate that these formulations outperform ILPLIT in average objective value, average computing time and number of optimal solutions found.
References
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Book

Approximation Algorithms

TL;DR: Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field.
Journal ArticleDOI

A survey of graph layout problems

TL;DR: A complete view of the current state of the art with respect to layout problems from an algorithmic point of view is presented.
Journal ArticleDOI

Improved approximation algorithms for MAX k-CUT and MAX BISECTION

TL;DR: Polynomial-time approximation algorithms with nontrivial performance guarantees are presented for the problems of partitioning the vertices of a weighted graph intok blocks so as to maximize the weight of crossing edges.
Book ChapterDOI

Improved Approximation Algorithms for MAX k-CUT and MAX BISECTION

TL;DR: Polynomial-time approximation algorithms with non-trivial performance guarantees are presented for the problems of partitioning the vertices of a weighted graph into k blocks so as to maximise the weight of crossing edges.
Journal ArticleDOI

Variable neighborhood search for the Vertex Separation Problem

TL;DR: In this article, a pure 0-1 optimization model and a metaheuristic algorithm based on the variable neighborhood search methodology for the vertex separation problem on general graphs are proposed, which is able to find high quality solutions with a moderate computing time for large-scale instances.
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