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dc.contributor.authorTirumala, Sreenivas Sremath
dc.contributor.authorNandigam, David
dc.contributor.authorAli, Shahid
dc.contributor.authorLi, Zuojin
dc.date.accessioned2016-05-10T20:53:29Z
dc.date.available2016-05-10T20:53:29Z
dc.date.issued2015-02-15
dc.identifier.urihttps://hdl.handle.net/10652/3363
dc.description.abstractQuantum inspired Evolutionary Algorithm (QEA) which uses qubits has been the basis for the development of many Quantum Inspired algorithms. Di- verging from this, a new Quantum Inspired Competitive Co-evolution algorithm (QCCEA) has been proposed by quantifying Competitive Co-evolution Algorithm (CCEA) using a new method of representation. In the literature, the performance of QCCEA against CCEA was evaluated for numerical optimization problems. In this paper we have further analysed the performance of QCCEA using Maze problem which server as the primary investigation for combinatorial optimization problems. In the process of evaluating the performance of QCCEA against CCEA, we have performed three different experiments on the Maze problem. The results show that QCCEA has produced more diversified solutions compared to CCEA at the expense of time variable.en_NZ
dc.language.isoenen_NZ
dc.publisherInternational Institute of Engineers and Researchers (IIER)en_NZ
dc.relation.urihttp://theiier.org/Conference/Singapore/2/ICTAEECE/en_NZ
dc.rightsAll rights reserveden_NZ
dc.subjectevolutionary algorithmsen_NZ
dc.subjectcompetitive coevolutionen_NZ
dc.subjectqubiten_NZ
dc.subjectmaze problemen_NZ
dc.subjectquantum computingen_NZ
dc.subjectquantum inspired competitive co-evolution algorithm (QCCEA)en_NZ
dc.subjectquantum inspired evolutionary algorithm (QEA)en_NZ
dc.subjectcompetitive co-evolution algorithm (CCEA)en_NZ
dc.subjectalgorithmsen_NZ
dc.titleEffect of quantization on competitive co-evolution algorithm - QCCEA versus CCEAen_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.rights.holderInternational Institute of Engineers and Researchers (IIER)en_NZ
dc.subject.marsden080108 Neural, Evolutionary and Fuzzy Computationen_NZ
dc.identifier.bibliographicCitationTirumala, S. S., Nandigam D., Ali S, & Li Z.. (2015) Effect of Quantization on Competitive Co-evolution Algorithm - QCCEA versus CCEA. IEEE (Ed.), International Conference on Technological Advances in Electrical, Electronics and Computer Engineering ICTAEECE'2015, The 2nd World Congress on Computer Applications and Information Systems (WCCAIS'2015).en_NZ
unitec.institutionAuckland University of Technologyen_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.institutionChongqing University of Science and Technology (Chongquing, China)en_NZ
unitec.conference.titleInternational Conference on Technological Advances in Electrical, Electronics and Computer Engineering (ICTAEECE-2015)en_NZ
unitec.conference.orgInternational Institute of Engineers and Researchers (IIER)en_NZ
unitec.conference.locationSingaporeen_NZ
unitec.conference.sdate2015-02-15
unitec.conference.edate2015-02-15
unitec.peerreviewedyesen_NZ
dc.contributor.affiliationUnitec Institute of Technologyen_NZ
dc.contributor.affiliationAuckland Institute of Technologyen_NZ
dc.contributor.affiliationChongqing University of Science and Technologyen_NZ
unitec.identifier.roms57965en_NZ
unitec.institution.studyareaComputing


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