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Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm
Joint Authors
Mani, Ashish
Mani, Nija
Srivastava, Gursaran
Mani, Ashish
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-24
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Information Technology and Computer Science
Abstract EN
Quantum-inspired evolutionary algorithm (QEA) has been designed by integrating some quantum mechanical principles in the framework of evolutionary algorithms.
They have been successfully employed as a computational technique in solving difficult optimization problems.
It is well known that QEAs provide better balance between exploration and exploitation as compared to the conventional evolutionary algorithms.
The population in QEA is evolved by variation operators, which move the Q-bit towards an attractor.
A modification for improving the performance of QEA was proposed by changing the selection of attractors, namely, versatile QEA.
The improvement attained by versatile QEA over QEA indicates the impact of population structure on the performance of QEA and motivates further investigation into employing fine-grained model.
The QEA with fine-grained population model (FQEA) is similar to QEA with the exception that every individual is located in a unique position on a two-dimensional toroidal grid and has four neighbors amongst which it selects its attractor.
Further, FQEA does not use migrations, which is employed by QEAs.
This paper empirically investigates the effect of the three different population structures on the performance of QEA by solving well-known discrete benchmark optimization problems.
American Psychological Association (APA)
Mani, Nija& Srivastava, Gursaran& Mani, Ashish& Mani, Ashish. 2014. Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm. Applied Computational Intelligence and Soft Computing،Vol. 2014, no. 2014, pp.1-22.
https://search.emarefa.net/detail/BIM-1034171
Modern Language Association (MLA)
Mani, Nija…[et al.]. Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm. Applied Computational Intelligence and Soft Computing No. 2014 (2014), pp.1-22.
https://search.emarefa.net/detail/BIM-1034171
American Medical Association (AMA)
Mani, Nija& Srivastava, Gursaran& Mani, Ashish& Mani, Ashish. Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm. Applied Computational Intelligence and Soft Computing. 2014. Vol. 2014, no. 2014, pp.1-22.
https://search.emarefa.net/detail/BIM-1034171
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034171