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A quantum-inspired evolutionary algorithm for global optimizations of inverse problems.
- Source :
-
COMPEL . 2014, Vol. 33 Issue 1/2, p201-209. 9p. - Publication Year :
- 2014
-
Abstract
- Purpose – The purpose of this paper is to report the investigations on the potential of a new evolutionary algorithm based on probabilistic models – the quantum-inspired evolutionary algorithm (QEA) in solving inverse problems. Design/methodology/approach – An improved QEA. Findings – The proposed algorithm is an efficient and robust global optimizer for solving inverse problems. Originality/value – To enhance the convergence speed without compromising the diversity performances of the populations, a new definition of global information sharing is introduced and implemented. To guarantee the balance between exploration and exploitation searches, a different migration strategy and formula, as well as a novel formulation for adaptively updating the rotation angle, are developed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03321649
- Volume :
- 33
- Issue :
- 1/2
- Database :
- Academic Search Index
- Journal :
- COMPEL
- Publication Type :
- Periodical
- Accession number :
- 94622365
- Full Text :
- https://doi.org/10.1108/COMPEL-11-2012-0333