Resource Allocation Using Multi-Objective Evolutionary Algorithms | Solving Resource Allocation Problems using Multi-Objective Evolutionary Algorithms

Publisher

LAP Lambert Academic Publishing

Publication Date

2012

Language

English

ISBN 10

3848441357

ISBN 13

9783848441358

Binding

Taschenbuch

Condition

Neu

Seller catalogs

B�cher

About this title

Synopsis

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.

About the Author

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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