Abstract
This paper combines quantum evolutionary algorithm (QEA) with particle swarm optimization (PSO) together, proposes two kinds of hybrid quantum evolutionary algorithm. One is particle swarm embedded quantum evolutionary algorithm (PSEQEA); another one is quantum binary particle swarm optimization (QBPSO). The experiment results of multiuser detection problem show that both of the methods not only have simpler algorithm structure, but also perform better than conventional QEA and BPSO in terms of ability of global search optimum. In the third generation mobile communication system, multiuser detection technology is one of the most effective ways to solve multi-access interference in electronic communication system; these two algorithms can simplify and accelerate the detection process.
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Song, Q., Liu, X. (2013). Hybrid Quantum Evolutionary Algorithm and Its Application in Multiuser Detection of Electronic Communication System. In: Jin, D., Lin, S. (eds) Advances in Mechanical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol 178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31528-2_46
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DOI: https://doi.org/10.1007/978-3-642-31528-2_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31527-5
Online ISBN: 978-3-642-31528-2
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