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Graph-related optimization and decision support systems

Author: Saoussen Krichen; Jouhaina Chaouachi
Publisher: London : ISTE Ltd ; Hoboken, NJ : John Wiley & Sons, Inc., 2014.
Series: Focus series in computer engineering.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields. As the problem structure is split into two main components, the objective is to accomplish the feasible set framed by the system constraints. The aim of this book is expose optimization problems that can be expressed as  Read more...
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Document Type: Book
All Authors / Contributors: Saoussen Krichen; Jouhaina Chaouachi
ISBN: 9781848217430 1848217439
OCLC Number: 892859995
Description: xxi, 156 pages : illustrations, maps ; 25 cm.
Contents: Basic Concepts in Optimization and Graph Theory / Saoussen Krichen, Jouhaina Chaouachi --
Knapsack Problems / Saoussen Krichen, Jouhaina Chaouachi --
Packing Problems / Saoussen Krichen, Jouhaina Chaouachi --
Assignment Problem / Saoussen Krichen, Jouhaina Chaouachi --
The Resource Constrained Project Scheduling Problem / Saoussen Krichen, Jouhaina Chaouachi --
Spanning Tree Problems / Saoussen Krichen, Jouhaina Chaouachi --
Steiner Problems / Saoussen Krichen, Jouhaina Chaouachi --
A DSS Design for Optimization Problems / Saoussen Krichen, Jouhaina Chaouachi.
Series Title: Focus series in computer engineering.
Responsibility: Saoussen Krichen, Jouhaina Chaouachi.

Abstract:

Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields. As the problem structure is split into two main components, the objective is to accomplish the feasible set framed by the system constraints. The aim of this book is expose optimization problems that can be expressed as graphs, by detailing, for each studied problem, the set of nodes and the set of edges. This graph modeling is an incentive for designing a platform that integrates all optimizatio.

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