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dc.contributor.authorZhang, G.*
dc.contributor.authorChen, J.*
dc.contributor.authorGheorghe, Marian*
dc.contributor.authorIpate, F.*
dc.contributor.authorWang, X.*
dc.date.accessioned2016-09-21T15:46:32Z
dc.date.available2016-09-21T15:46:32Z
dc.date.issued2015
dc.identifier.citationZhang G, Chen J, Gheorghe M et al (2015) QEAM: An Approximate Algorithm Using P Systems with Active Membranes. International Journal of Computers Communications & Control. 10(2): 263-279.
dc.identifier.urihttp://hdl.handle.net/10454/9256
dc.descriptionNo
dc.description.abstractThis 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.
dc.relation.isreferencedbyhttp://dx.doi.org/10.15837/ijccc.2015.2.1757
dc.subjectMembrane computing
dc.subject; Active membranes
dc.subject; Approximate optimisation approach
dc.subject; Quantum-inspired evolutionary algorithm
dc.subject; Satisfiability problem
dc.subject; Inspired evolutionary algorithm
dc.subject; Differential evolution
dc.subject; Genetic algorithms
dc.subject; Optimisation
dc.subject; Search
dc.titleQEAM: An Approximate Algorithm Using P Systems with Active Membranes
dc.status.refereedYes
dc.typeArticle
dc.type.versionNo full-text available in the repository


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