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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/19002
Title: Particle swarm optimization for economic dispatch problems with valve-point effects
Authors: Deep, K.
Bansal J.C.
Published in: Proceedings of 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010
Abstract: Laplace Crossover Particle Swarm Optimization (LXPSO) is a variant of Particle Swarm Optimization (PSO) which employs Laplace Crossover to PSO. LXPSO 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 LXPSO in expectation of better results. Results are also compared with the earlier published results. © 2010 IEEE.
Citation: Proceedings of 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, (2010), 1395- 1398. Changsha
URI: https://doi.org/10.1109/BICTA.2010.5645606
http://repository.iitr.ac.in/handle/123456789/19002
Issue Date: 2010
Keywords: Economic dispatch
Laplace crossover
Particle swarm optimization
Continuous optimization
Continuous optimization problems
Cost effective
Economic Dispatch
Economic dispatch problems
Laplace crossover
Particle swarm
Power system operations
Test problem
Valve point effects
Computation theory
Laplace transforms
Scheduling
Particle swarm optimization (PSO)
ISBN: 9.78E+12
Author Scopus IDs: 8561208900
57189656835
Author Affiliations: Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India
Bansal, J.C., ABV- Indian Institute of Information Technology and Management, Gwalior, India
Corresponding Author: Deep, K.; Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India; email: kusumfma@iitr.ernet.in
Appears in Collections:Conference Publications [MA]

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