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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18674
Title: Opposition based chaotic differential evolution algorithm for solving global optimization problems
Authors: Thangaraj R.
Pant M.
Chelliah, Thanga Raj
Abraham A.
Published in: Proceedings of the 2012 4th World Congress on Nature and Biologically Inspired Computing, NaBIC 2012
Abstract: A modified differential evolution (DE) algorithm based on opposition based learning and chaotic sequence named Opposition based Chaotic Differential Evolution (OCDE) is proposed. The proposed OCDE algorithm is different from basic DE in two aspects. First is the generation of initial population, which follows Opposition Based Learning (OBL) rules; and the second is: dynamic adaption of scaling factor F using chaotic sequence. The numerical results obtained by OCDE when compared with the results obtained by DE and ODE (opposition based DE) algorithms on eighteen benchmark function demonstrate that the OCDE is able to find a better solution while maintaining a reasonable convergence rate. © 2012 IEEE.
Citation: Proceedings of the 2012 4th World Congress on Nature and Biologically Inspired Computing, NaBIC 2012, (2012), 1- 7. Mexico City
URI: https://doi.org/10.1109/NaBIC.2012.6402168
http://repository.iitr.ac.in/handle/123456789/18674
Issue Date: 2012
Keywords: chaotic sequence
differential evolution
global optimization
opposition based learning
ISBN: 9.78147E+12
Author Scopus IDs: 24345289500
23467551900
35755335100
7202760099
Author Affiliations: Thangaraj, R., Indian Institute of Technology Roorkee, Roorkee - 247 667, India
Pant, M., Indian Institute of Technology Roorkee, Roorkee - 247 667, India
Chelliah, T.R., Machine Intelligent Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, United States, IT for Innovations, VSB - Technical University of Ostrava, Czech Republic
Abraham, A., Indian Institute of Technology Roorkee, Roorkee - 247 667, India
Corresponding Author: Thangaraj, R.; Indian Institute of Technology Roorkee, Roorkee - 247 667, India; email: t.radha@ieee.org
Appears in Collections:Conference Publications [WR]

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