Search Results - "Indicator-Based Evolutionary Algorithm"
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Authors: et al.
Source: Concurrency and Computation: Practice and Experience. 37
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2
Authors: et al.
Source: IFIP Advances in Information and Communication Technology ISBN: 9783031578076
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3
Authors: et al.
Source: IEEE Transactions on Evolutionary Computation. :1-1
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Authors: et al.
Source: IEEE Transactions on Evolutionary Computation. 26:379-391
Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Access URL: https://ieeexplore.ieee.org/document/9454505
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5
Authors: et al.
Source: IEEE Transactions on Evolutionary Computation. 25:1064-1078
Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Access URL: https://ieeexplore.ieee.org/document/9426953
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6
Authors: et al.
Source: 2020 Chinese Control And Decision Conference (CCDC). :3784-3789
Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Authors: et al.
Source: Information Sciences. 678:121045
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Authors:
Source: Neurocomputing. 593:127836
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9
Authors:
Source: IEEE Transactions on Evolutionary Computation. 23:173-187
Subject Terms: FOS: Computer and information sciences, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 02 engineering and technology
Access URL: http://arxiv.org/pdf/1802.08792
http://arxiv.org/abs/1802.08792
https://arxiv.org/pdf/1802.08792.pdf
https://ui.adsabs.harvard.edu/abs/2018arXiv180208792S/abstract
https://arxiv.org/abs/1802.08792
https://dblp.uni-trier.de/db/journals/tec/tec23.html#SunYY19a
https://ieeexplore.ieee.org/document/8249827 -
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Authors:
Source: Applied Mathematics-A Journal of Chinese Universities. 34:1-26
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11
Authors:
Source: Swarm and Evolutionary Computation. 44:404-419
Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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12
Authors: et al.
Source: IEEE Access, Vol 7, Pp 63881-63891 (2019)
Subject Terms: many-objective optimization, 0202 electrical engineering, electronic engineering, information engineering, Evolutionary computation, generational distance, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, niching method, TK1-9971
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13
Authors: et al.
Source: IEEE Transactions on Evolutionary Computation. 23:525-537
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14
Authors: et al.
Source: International Journal of Software Engineering and Knowledge Engineering. 29:489-513
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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15
Authors: et al.
Source: 2018 IEEE Congress on Evolutionary Computation (CEC). :1-7
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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16
Authors: et al.
Source: Applied Soft Computing. 67:245-260
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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17
Authors:
Source: Swarm and Evolutionary Computation. 84:101449
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18
Authors: et al.
Source: Applied Soft Computing. 147:110736
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19
Authors: et al.
Source: 2017 IEEE Congress on Evolutionary Computation (CEC). :1047-1054
Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Access URL: https://nottingham-repository.worktribe.com/preview/864384/A%20Modified%20Indicator-
based %20Evolutionary%20Algorithm%20%28mIBEA%29%20final%20submission.pdf
https://nottingham-repository.worktribe.com/output/864368
http://eprints.nottingham.ac.uk/41420/
https://nottingham-repository.worktribe.com/preview/864384/A%20Modified%20Indicator-based %20Evolutionary%20Algorithm%20%28mIBEA%29%20final%20submission.pdf
https://ieeexplore.ieee.org/document/7969423
http://qmro.qmul.ac.uk/xmlui/handle/123456789/26009
http://ieeexplore.ieee.org/document/7969423/ -
20
Authors: et al.
Source: 2016 IEEE Congress on Evolutionary Computation (CEC). :492-499
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