Graph-related Optimization and Decision Theory

Name: Graph-related Optimization and Decision Theory
Brand: ISTE Ltd and John Wiley & Sons Inc
SKU: 9781848217430
Price: 3790 CZK
Availability: InStock

Autor: Saoussen Krichen, Jouhaina Chaouachi

Jazyk:

Vazba: Pevná

Vydavatel: ISTE Ltd and John Wiley & Sons Inc

Dostupnost: Skladem u dodavatele

Odesíláme za 14-21 dnů

3 790 Kč

Constrained optimization is a challenging branch of operations research that aims to create a model...

Informace o knize

Autor

Saoussen Krichen, Jouhaina Chaouachi

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2014

Stránek

186

EAN

9781848217430

ISBN

1848217439

Enbook ID

05103847

Vydavatel

ISTE Ltd and John Wiley & Sons Inc

Hmotnost

450

Rozměry

167 x 240 x 17

Kompletní popis

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 optimization components in order to output the best solution regarding the parameters' tuning. The authors propose in their analysis, for optimization problems, to provide their graphical modeling and mathematical formulation and expose some of their variants. As a solution approaches, an optimizer can be the most promising direction for limited-size instances. For large problem instances, approximate algorithms are the most appropriate way for generating high quality solutions. The authors thus propose, for each studied problem, a greedy algorithm as a problem-specific heuristic and a genetic algorithm as a metaheuristic.

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Graph-related Optimization and Decision Theory

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