A Novel Real-coded Quantum-inspired Genetic Algorithm and Its Application in Data Reconciliation
Traditional quantum-inspired genetic algorithm (QGA) has drawbacks such as premature convergence, heavy computational cost, complicated coding and decoding process etc. In this paper, a novel real-coded quantum-inspired genetic algorithm is proposed based on interval division thinking. Detailed comp...
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| Veröffentlicht in: | International journal of computational intelligence systems Jg. 5; H. 3; S. 413 - 420 |
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| Sprache: | Englisch |
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01.06.2012
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| Abstract | Traditional quantum-inspired genetic algorithm (QGA) has drawbacks such as premature convergence, heavy computational cost, complicated coding and decoding process etc. In this paper, a novel real-coded quantum-inspired genetic algorithm is proposed based on interval division thinking. Detailed comparisons with some similar approaches for some standard benchmark functions test validity of the proposed algorithm. Besides, the proposed algorithm is used in two typical nonlinear data reconciliation problems (distilling process and extraction process) and simulation results show its efficiency in nonlinear data reconciliation problems. |
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| AbstractList | Traditional quantum-inspired genetic algorithm (QGA) has drawbacks such as premature convergence, heavy computational cost, complicated coding and decoding process etc. In this paper, a novel real-coded quantum-inspired genetic algorithm is proposed based on interval division thinking. Detailed comparisons with some similar approaches for some standard benchmark functions test validity of the proposed algorithm. Besides, the proposed algorithm is used in two typical nonlinear data reconciliation problems (distilling process and extraction process) and simulation results show its efficiency in nonlinear data reconciliation problems. |
| Author | Lin, G.A.O. Xingsheng, G.U. |
| Author_xml | – sequence: 1 givenname: G.A.O. surname: Lin fullname: Lin, G.A.O. organization: Research Institute of Automation, East China University of Science and Technology, School of Automation and Electrical Engineering, Qingdao University of Science and Technology – sequence: 2 givenname: G.U. surname: Xingsheng fullname: Xingsheng, G.U. email: xsgu@ecust.edu.cn organization: Research Institute of Automation, East China University of Science and Technology |
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| Cites_doi | 10.1016/S1004-9541(06)60083-9 10.1016/S1004-9541(08)60198-6 10.1016/0307-904X(88)90013-3 10.1016/S1004-9541(08)60231-1 10.1109/TEVC.2004.823467 10.1016/S0098-1354(97)00242-1 10.1109/TPWRS.2009.2030359 10.1016/S1004-9541(06)60120-1 10.1016/j.compchemeng.2004.11.005 10.1002/aic.690320410 10.1007/978-3-540-78532-3_2 10.1109/TEVC.2002.804320 10.1109/TPWRS.2008.2004743 10.1016/S1004-9541(07)60148-7 |
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| Keywords | real-coded quantum-inspired genetic algorithm nonlinear data reconciliation interval division |
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| SubjectTerms | interval division nonlinear data reconciliation quantum-inspired genetic algorithm real-coded Research Article |
| Title | A Novel Real-coded Quantum-inspired Genetic Algorithm and Its Application in Data Reconciliation |
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