Compression Genetic Algorithms and Quantum Genetic Algorithms
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2015, Vol 9, Issue 10
Abstract
A genetic algorithm is a class of adaptive stochastic optimization algorithms involving search and optimization. Generally; Evolutionary computation has already been known in computer science since more than 4 decades. More recently, another alternative of evolutionary algorithms was invented: Quantum Genetic Algorithms (QGA). In this paper, we outline the approach of QGA by giving a comparison with Conventional Genetic Algorithm (CGA). Our results have shown that QGA can be a very promising tool for exploring search spaces.
Authors and Affiliations
M. R. Rakhshani| Department of Mathematics, Zahedan branch, Islamic Azad University, Zahedan, Iran, S. Mousavi| Department of Electrical Engineering, Hatef Higher Education Institute, Zahedan, Iran, email: bbmoosavi@gmail.com
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- EP ID EP7151
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