Abstract
In this chapter we introduce a family of algorithms whose workings draw inspiration from aspects of quantum mechanics in order to develop a series of hybrid quantum evolutionary algorithms. Initially, the chapter provides a short introduction to quantum systems and then describes the design of both hybrid binary-valued and hybrid real-valued quantum evolutionary algorithms.
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© 2015 Springer-Verlag Berlin Heidelberg
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Brabazon, A., O’Neill, M., McGarraghy, S. (2015). Quantum Inspired Evolutionary Algorithms. In: Natural Computing Algorithms. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43631-8_24
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DOI: https://doi.org/10.1007/978-3-662-43631-8_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-43630-1
Online ISBN: 978-3-662-43631-8
eBook Packages: Computer ScienceComputer Science (R0)