Analysis of mutation vectors selection mechanism in differential evolution (English)
- New search for: Zhou, Y.
- New search for: Zhou, Y.
In:
APPLIED INTELLIGENCE
;
44
, 4
;
904-912
;
2016
-
ISSN:
- Article (Journal) / Print
-
Title:Analysis of mutation vectors selection mechanism in differential evolution
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Contributors:Zhou, Y. ( author )
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Published in:APPLIED INTELLIGENCE ; 44, 4 ; 904-912
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Publisher:
- New search for: Springer Science + Business Media
-
Place of publication:Springer Science + Business Media
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Publication date:2016-01-01
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Size:9 pages
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ISSN:
-
Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 006.3
- Further information on Dewey Decimal Classification
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Classification:
DDC: 006.3 -
Source:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents – Volume 44, Issue 4
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 755
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Towards a dynamic modeling of the predator prey problemBen-Romdhane, Hajer / Alba, Enrique / Krichen, Saoussen et al. | 2015
- 771
-
Topic-tracking-based dynamic user modeling with TV recommendation applicationsKim, Eunhui / Kim, Munchurl et al. | 2015
- 793
-
Parameter estimation of vertical takeoff and landing aircrafts by using a PID controlling particle swarm optimization algorithmLu, Yongzhong / Yan, Danping / Levy, David et al. | 2015
- 816
-
An efficient ordering-based ensemble pruning algorithm via dynamic programmingDai, Qun / Han, Xiaomeng et al. | 2015
- 831
-
An efficient implicit regularized Lagrangian twin support vector regressionTanveer, M. / Shubham, K. / Aldhaifallah, M. / Nisar, K. S. et al. | 2015
- 849
-
Swarm intelligence approaches for multidepot salesmen problems with load balancingPandiri, Venkatesh / Singh, Alok et al. | 2015
- 862
-
Evolving lane merge traffic behaviour simulations via a macroscopic objective function and a machine learning system trained through bootstrapped human judgementLakshika, Erandi / Barlow, Michael / Easton, Adam et al. | 2015
- 878
-
A novel criterion to select hidden neuron numbers in improved back propagation networks for wind speed forecastingMadhiarasan, M. / Deepa, S. N. et al. | 2015
- 894
-
Backtracking biogeography-based optimization for numerical optimization and mechanical design problemsGuo, Weian / Chen, Ming / Wang, Lei / Wu, Qidi et al. | 2015
- 904
-
Analysis of mutation vectors selection mechanism in differential evolutionZhou, Yinzhi / Yi, Wenchao / Gao, Liang / Li, Xinyu et al. | 2015
- 913
-
Expression invariant face recognition using semidecimated DWT, Patch-LDSMT, feature and score level fusionPatil, Hemprasad / Kothari, Ashwin / Bhurchandi, Kishor et al. | 2015
- 931
-
Training primal twin support vector regression via unconstrained convex minimizationBalasundaram, S. / Meena, Yogendra et al. | 2015
- 956
-
ν-twin support vector machine with Universum data for classificationXu, Yitian / Chen, Mei / Yang, Zhiji / Li, Guohui et al. | 2015
- 969
-
A trust evaluation scheme for complex links in a social network: a link strength perspectiveLi, Meizi / Xiang, Yang / Zhang, Bo / Huang, Zhenhua / Zhang, Jiawen et al. | 2016