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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/19004
Title: Quadratic approximation PSO for economic dispatch problems with valve-point effects
Authors: Bansal J.C.
Deep K.
Published in: Proceedings of Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract: Quadratic Approximation Particle Swarm Optimization (qPSO) is a variant of Particle Swarm Optimization (PSO) which hybridize Quadratic Approximation Operator (QA) with PSO. qPSO is already proven to be cost effective and reliable for the test problems of continuous optimization. Economic dispatch (ED) problem is one of the fundamental issues in power system operations. The problem of economic dispatch turns out to be a continuous optimization problem which is solved using original PSO and its variant qPSO in expectation of better results. Results are also compared with the earlier published results. © 2010 Springer-Verlag.
Citation: Proceedings of Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (2010), 460- 467. Chennai
URI: https://doi.org/10.1007/978-3-642-17563-3_55
http://repository.iitr.ac.in/handle/123456789/19004
Issue Date: 2010
Keywords: Economic Dispatch
Particle Swarm Optimization
Quadratic Approximation
Continuous optimization
Continuous optimization problems
Cost effective
Economic Dispatch
Economic dispatch problems
Particle swarm
Power system operations
Quadratic approximation
Test problem
Valve point effects
Continuous optimization
Continuous optimization problems
Cost effective
Economic Dispatch
Economic dispatch problems
Power system operations
Quadratic approximation
Valve point effects
Scheduling
Cost effectiveness
Electric load dispatching
Evolutionary algorithms
Optimization
Scheduling
Particle swarm optimization (PSO)
Particle swarm optimization (PSO)
ISBN: 3642175627; 9783642175626
ISSN: 3029743
Author Scopus IDs: 57189656835
8561208900
Author Affiliations: Bansal, J.C., ABV - Indian Institute of Information Technology and Management, Gwalior, India
Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee, India
Corresponding Author: Bansal, J. C.; ABV - Indian Institute of Information Technology and Management, Gwalior, India; email: jcbansal@iiitm.ac.in
Appears in Collections:Conference Publications [MA]

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