dc.contributor.author | Tirumala, Sreenivas Sremath | |
dc.contributor.author | Nandigam, David | |
dc.contributor.author | Ali, Shahid | |
dc.contributor.author | Li, Zuojin | |
dc.date.accessioned | 2016-05-10T20:53:29Z | |
dc.date.available | 2016-05-10T20:53:29Z | |
dc.date.issued | 2015-02-15 | |
dc.identifier.uri | https://hdl.handle.net/10652/3363 | |
dc.description.abstract | Quantum 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.iso | en | en_NZ |
dc.publisher | International Institute of Engineers and Researchers (IIER) | en_NZ |
dc.relation.uri | http://theiier.org/Conference/Singapore/2/ICTAEECE/ | en_NZ |
dc.rights | All rights reserved | en_NZ |
dc.subject | evolutionary algorithms | en_NZ |
dc.subject | competitive coevolution | en_NZ |
dc.subject | qubit | en_NZ |
dc.subject | maze problem | en_NZ |
dc.subject | quantum computing | en_NZ |
dc.subject | quantum inspired competitive co-evolution algorithm (QCCEA) | en_NZ |
dc.subject | quantum inspired evolutionary algorithm (QEA) | en_NZ |
dc.subject | competitive co-evolution algorithm (CCEA) | en_NZ |
dc.subject | algorithms | en_NZ |
dc.title | Effect of quantization on competitive co-evolution algorithm - QCCEA versus CCEA | en_NZ |
dc.type | Conference Contribution - Paper in Published Proceedings | en_NZ |
dc.rights.holder | International Institute of Engineers and Researchers (IIER) | en_NZ |
dc.subject.marsden | 080108 Neural, Evolutionary and Fuzzy Computation | en_NZ |
dc.identifier.bibliographicCitation | Tirumala, 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.institution | Auckland University of Technology | en_NZ |
unitec.institution | Unitec Institute of Technology | en_NZ |
unitec.institution | Chongqing University of Science and Technology (Chongquing, China) | en_NZ |
unitec.conference.title | International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (ICTAEECE-2015) | en_NZ |
unitec.conference.org | International Institute of Engineers and Researchers (IIER) | en_NZ |
unitec.conference.location | Singapore | en_NZ |
unitec.conference.sdate | 2015-02-15 | |
unitec.conference.edate | 2015-02-15 | |
unitec.peerreviewed | yes | en_NZ |
dc.contributor.affiliation | Unitec Institute of Technology | en_NZ |
dc.contributor.affiliation | Auckland Institute of Technology | en_NZ |
dc.contributor.affiliation | Chongqing University of Science and Technology | en_NZ |
unitec.identifier.roms | 57965 | en_NZ |
unitec.institution.studyarea | Computing | |