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Resource Allocation Using Multi-Objective Evolutionary Algorithms: Solving Resource Allocation Problems using Multi-Objective Evolutionary Algorithms - Brossura
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A resource allocation problem (RAP) is encountered in a variety of areas in operations research and management science. It is a combinatorial optimization problem, where a limited amount of resources are to be allocated to certain number of competitive events in order to achieve the most effective allotment of the resources. Although the properties of an RAP can help in characterizing another RAP, different RAPs are usually studied independently without exploring the similarities among them. Therefore, with the aim of exploring the similarities among different types of RAPs, two versions of NSGA-II, a well-known multi-objective evolutionary algorithm, are developed as the solution techniques for two challenging RAPs of quite different natures, namely the university class timetabling problem and the land-use management problem. Finally, the similarities between the problems, as well as between their solution techniques, are analyzed through a number of case studies under multiple objectives and different sets of hard and soft constraints.
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L'autore
Dr. Datta did PhD at IIT Kanpur, India. He got a post-doc fellowship from FCT, Portugal. Presently he is teaching in Mechanical Engineering at Tezpur University, India. His research area is evolutionary algorithms with application to combinatorial optimization problems. He has authored a number of articles in reputed journals and conferences.
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Resource Allocation Using Multi-Objective Evolutionary Algorithms
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848441357
ISBN 13: 9783848441358
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Datta DilipDr. Datta did PhD at IIT Kanpur, India. He got a post-doc fellowship from FCT, Portugal. Presently he is teaching in Mechanical Engineering at Tezpur University, India. His research area is evolutionary algorithms with app. Codice articolo 5522428
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Resource Allocation Using Multi-Objective Evolutionary Algorithms | Solving Resource Allocation Problems using Multi-Objective Evolutionary Algorithms
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LAP Lambert Academic Publishing, 2012
ISBN 10: 3848441357
ISBN 13: 9783848441358
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Resource Allocation Using Multi-Objective Evolutionary Algorithms | Solving Resource Allocation Problems using Multi-Objective Evolutionary Algorithms | Dilip Datta | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848441358 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 106502655
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Resource Allocation Using Multi-Objective Evolutionary Algorithms : Solving Resource Allocation Problems using Multi-Objective Evolutionary Algorithms
Editore:
LAP Lambert Academic Publishing, 2012
ISBN 10: 3848441357
ISBN 13: 9783848441358
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A resource allocation problem (RAP) is encountered in a variety of areas in operations research and management science. It is a combinatorial optimization problem, where a limited amount of resources are to be allocated to certain number of competitive events in order to achieve the most effective allotment of the resources. Although the properties of an RAP can help in characterizing another RAP, different RAPs are usually studied independently without exploring the similarities among them. Therefore, with the aim of exploring the similarities among different types of RAPs, two versions of NSGA-II, a well-known multi-objective evolutionary algorithm, are developed as the solution techniques for two challenging RAPs of quite different natures, namely the university class timetabling problem and the land-use management problem. Finally, the similarities between the problems, as well as between their solution techniques, are analyzed through a number of case studies under multiple objectives and different sets of hard and soft constraints. Codice articolo 9783848441358
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Resource Allocation Using Multi-Objective Evolutionary Algorithms: Solving Resource Allocation Problems using Multi-Objective Evolutionary Algorithms
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848441357
ISBN 13: 9783848441358
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA78738484413576
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