Resource Allocation Using Multi Objective by Datta Dilip (4 results)
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Taschenbuch. Condition: 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.
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Condition: 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 e…volutionary algorithms with app.
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Taschenbuch. Condition: 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.
