A Quantum-Inspired Evolutionary Algorithm Using Gaussian Distribution-Based Quantization

Recent advances lead to the increase in the capability of evolutionary algorithms for tacking optimization problems. Particularly quantum-inspired computation leads to a new direction for enhancing the effectiveness of these algorithms. Existing studies on quantum-inspired algorithms focused primari...

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Bibliographic Details
Published in:	Arabian journal for science and engineering (2011) Vol. 43; no. 2; pp. 471 - 482
Main Author:	Tirumala, Sreenivas Sremath
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2018 Springer Nature B.V
Subjects:	Algorithms Combinatorial analysis Engineering Evolutionary algorithms Fitness Gaussian distribution Humanities and Social Sciences Measurement multidisciplinary Multiple objective analysis Normal distribution Optimization Parameter sensitivity Quantum computing Quantum mechanics Qubits (quantum computing) Research Article - Computer Engineering and Computer Science Science QCCEA Quantum-inspired competitive coevolution Quantum-inspired evolutionary algorithm Evolutionary algorithm
ISSN:	2193-567X, 1319-8025, 2191-4281
Online Access:	Get full text
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