04144cam a2200589Ii 4500 ocn892476749 OCoLC 20171026104452.0 m o d cr cnu|||unuuu 141007s2014 enk ob 001 0 eng d 9781118984260 (electronic bk.) 1118984269 (electronic bk.) 9781848217430 9781118984253 1118984250 10.1002/9781118984260 doi CHBIS 010259826 CHVBK 32594248X NZ1 15909350 DEBBG BV043397188 (OCoLC)892476749 (OCoLC)961611522 (OCoLC)962662644 DG1 eng rda pn DG1 YDXCP OCLCF OCLCQ EBLCP DEBBG OCLCQ AZK RECBK MAIN QA166 511/.5 23 Krichen, Saoussen, author. Graph-related optimization and decision support systems / Saoussen Krichen, Jouhaina Chaouachi. [electronic resource] London : ISTE, Ltd. ; Hoboken, NJ : Wiley, 2014. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Focus Computer Engineering Series, 2051-249X Includes bibliographical references and index. 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. 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. Online resource; title from PDF title page (John Wiley, viewed Oct. 7, 2014). Graph theory. Mathematical optimization. Decision support systems. Decision support systems. fast (OCoLC)fst00889080 Graph theory. fast (OCoLC)fst00946584 Mathematical optimization. fast (OCoLC)fst01012099 COMPUTERS / Information Technology. bisacsh Electronic books. Chaouachi, Jouhaina, author. Print version: Krichen, Saoussen. Graph-related optimization and decision support systems. London, England ; Hoboken, New Jersey : ISTE : Wiley, c2014 xxi, 156 pages Focus series in computer engineering. 2051-249X 9781848217430 Focus series in computer engineering. http://onlinelibrary.wiley.com/book/10.1002/9781118984260 Wiley Online Library ddc BK 207703 207703