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Abstract: This paper extends the author's previous works on quantum-inspired evolutionary algorithm (QEA). It investigates the characteristics of QEA which is based on the concept and principles of quantum computing such as quantum bit and linear superposition of states. QEA has many advantages such as automatic balance ability between global search and local search, inclusion of individual 's past history, having fewer individuals without degrading performance, less computation time, and clearer... (Update)
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BibTeX entry: (Update)
@misc{ han-analysis,
author = "Kuk-Hyun Han and Jong-Hwan Kim",
title = "Analysis of Quantum-Inspired Evolutionary Algorithm",
url = "citeseer.ist.psu.edu/han01analysis.html" }
Citations (may not include all citations):1051 Optimization and Machine Learning (context) - Goldberg, in - 1989
245 Evolutionary Computation: Toward a New Philosophy of Machine.. (context) - Fogel - 1995
48 Quantum Theory, the Church-Turing principle and the universa.. - Deutsch - 1985
10 Quantum Computing - Shor - 1998
8 revised and extended edition (context) - Michalewicz, Algorithms et al. - 1999
5 Genetic Quantum Algorithm and its Application to Combinatori.. - Han, Kim - 2000
4 Quantum computing: an introduction (context) - Hey - 1999
4 Par- allel Quantum-inspired Genetic Algorithm for Combinator.. - Han, Park et al. - 2001
4 Representation, Constraint Satisfaction and the Knapsack Pro.. (context) - Hinterding - 1999
3 Wiley Inter-Science (context) - Schwefel, Optimum - 1995
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