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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Spelling suggestions: "subject:"approximate optimisation approach"" "subject:"pproximate optimisation approach""

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QEAM: An Approximate Algorithm Using P Systems with Active Membranes

Zhang, G., Chen, J., Gheorghe, Marian, Ipate, F., Wang, X. January 2015 (has links)
No / This paper proposes an approximate optimization approach, called QEAM, which combines a P system with active membranes and a quantum-inspired evolutionary algorithm. QEAM uses the hierarchical arrangement of the compartments and developmental rules of a P system with active membranes, and the objects consisting of quantum-inspired bit individuals, a probabilistic observation and the evolutionary rules designed with quantum-inspired gates to specify the membrane algorithms. A large number of experiments carried out on benchmark instances of satisfiability problem show that QEAM outperforms QEPS (quantum-inspired evolutionary algorithm based on P systems) and its counterpart quantum-inspired evolutionary algorithm.
Membrane computing
Active membranes
Approximate optimisation approach
Quantum-inspired evolutionary algorithm
Satisfiability problem
Inspired evolutionary algorithm
Differential evolution
Genetic algorithms
Optimisation
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