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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18973
Title: A modified biogeography based optimization
Authors: Farswan P.
Bansal J.C.
Deep, K.
Geem Z.W.
Kim J.H.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: Biogeography based optimization (BBO) has recently gain interest of researchers due to its efficiency and existence of very few parameters. The BBO is inspired by geographical distribution of species within islands. However, BBO has shown its wide applicability to various engineering optimization problems, the original version of BBO sometimes does not perform up to themark. Poor balance of exploration and exploitation is the reason behind it. Migration, mutation and elitism are three operators in BBO. Migration operator is responsible for the information sharing among candidate solutions (islands). In this way, the migration operator plays an important role for the design of an efficient BBO. This paper proposes a new migration operator in BBO. The so obtained BBO shows better diversified search process and hence finds solutions more accurately with high convergence rate. The BBO with new migration operator is tested over 20 test problems. Results are compared with that of original BBO and Blended BBO. The comparison which is based on efficiency, reliability and accuracy shows that proposed migration operator is competitive to the present one. © Springer-Verlag Berlin Heidelberg 2016.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2016), 227- 238
URI: https://doi.org/10.1007/978-3-662-47926-1_22
http://repository.iitr.ac.in/handle/123456789/18973
Issue Date: 2016
Publisher: Springer Verlag
Keywords: Biogeography based optimization
Blended BBO
Migration operator
Algorithms
Ecology
Efficiency
Geographical distribution
Heuristic algorithms
Learning algorithms
Balance of exploration and exploitation
Biogeography-based optimizations
Biogeographybased optimizations (BBO)
Blended BBO
Convergence rates
Engineering optimization problems
Information sharing
Migration operator
Optimization
ISBN: 9.78E+12
ISSN: 21945357
Author Scopus IDs: 56595259000
57189656835
8561208900
Author Affiliations: Farswan, P., South Asian University, New Delhi, India
Bansal, J.C., South Asian University, New Delhi, India
Deep, K., Indian Institute of Technology Roorkee, Roorkee, India
Corresponding Author: Bansal, J.C.; South Asian UniversityIndia
Appears in Collections:Conference Publications [MA]

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