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Quantum-behaved Particle Swarm Optimization with Nelder-Mead Simplex Search Method

This paper proposes a novel hybrid algorithm based on quantum-behaved particle swarm optimization (QPSO) algorithm and Nelder-Mead (NM) simplex search method for continuous optimization problems, abbreviated as QPSO-NM. This hybrid algorithm is very easy to be implemented since it does not require c...

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Bibliografiska uppgifter
Huvudupphov: Weiquan Yao
Materialtyp: Artigo
Språk:Inglês
Utgiven: Society for Risk Analysis - China 2015-04-01
Serie:Journal of Risk Analysis and Crisis Response (JRACR)
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Länkar:https://www.atlantis-press.com/article/18933.pdf
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