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Items: 1 to 20 of 104

1.

A Distributed Swarm Optimizer With Adaptive Communication for Large-Scale Optimization.

Yang Q, Chen WN, Gu T, Zhang H, Yuan H, Kwong S, Zhang J.

IEEE Trans Cybern. 2019 Apr 9. doi: 10.1109/TCYB.2019.2904543. [Epub ahead of print]

PMID:
30969936
2.

Segment-Based Predominant Learning Swarm Optimizer for Large-Scale Optimization.

Yang Q, Chen WN, Gu T, Zhang H, Deng JD, Li Y, Zhang J.

IEEE Trans Cybern. 2017 Sep;47(9):2896-2910. doi: 10.1109/TCYB.2016.2616170. Epub 2016 Oct 24.

3.

Distributed Differential Evolution Based on Adaptive Mergence and Split for Large-Scale Optimization.

Ge YF, Yu WJ, Lin Y, Gong YJ, Zhan ZH, Chen WN, Zhang J.

IEEE Trans Cybern. 2018 Jul;48(7):2166-2180. doi: 10.1109/TCYB.2017.2728725. Epub 2017 Jul 31.

PMID:
28767384
4.

A competitive swarm optimizer for large scale optimization.

Cheng R, Jin Y.

IEEE Trans Cybern. 2015 Feb;45(2):191-204. doi: 10.1109/TCYB.2014.2322602. Epub 2014 May 20.

PMID:
24860047
5.

Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer.

Tian Y, Zheng X, Zhang X, Jin Y.

IEEE Trans Cybern. 2019 Apr 3. doi: 10.1109/TCYB.2019.2906383. [Epub ahead of print]

PMID:
30951490
6.

Competitive Swarm Optimizer Based Gateway Deployment Algorithm in Cyber-Physical Systems.

Huang S, Tao M.

Sensors (Basel). 2017 Jan 22;17(1). pii: E209. doi: 10.3390/s17010209.

7.

An adaptive multi-swarm optimizer for dynamic optimization problems.

Li C, Yang S, Yang M.

Evol Comput. 2014 Winter;22(4):559-94. doi: 10.1162/EVCO_a_00117.

PMID:
24437666
8.

Particle Swarm Optimization with Double Learning Patterns.

Shen Y, Wei L, Zeng C, Chen J.

Comput Intell Neurosci. 2016;2016:6510303. doi: 10.1155/2016/6510303. Epub 2015 Dec 27.

9.

A self-learning particle swarm optimizer for global optimization problems.

Li C, Yang S, Nguyen TT.

IEEE Trans Syst Man Cybern B Cybern. 2012 Jun;42(3):627-46. doi: 10.1109/TSMCB.2011.2171946. Epub 2011 Nov 4.

PMID:
22067435
10.

Incremental social learning in particle swarms.

de Oca MA, Stutzle T, Van den Enden K, Dorigo M.

IEEE Trans Syst Man Cybern B Cybern. 2011 Apr;41(2):368-84. doi: 10.1109/TSMCB.2010.2055848. Epub 2010 Sep 23.

PMID:
20875976
11.

Efficient population utilization strategy for particle swarm optimizer.

Hsieh ST, Sun TY, Liu CC, Tsai SJ.

IEEE Trans Syst Man Cybern B Cybern. 2009 Apr;39(2):444-56. doi: 10.1109/TSMCB.2008.2006628. Epub 2008 Dec 16.

PMID:
19095550
12.

Composite Particle Swarm Optimizer With Historical Memory for Function Optimization.

Li J, Zhang J, Jiang C, Zhou M.

IEEE Trans Cybern. 2015 Oct;45(10):2350-63. doi: 10.1109/TCYB.2015.2424836.

PMID:
26390177
13.

Master-Leader-Slave Cuckoo Search with Parameter Control for ANN Optimization and Its Real-World Application to Water Quality Prediction.

Jaddi NS, Abdullah S, Abdul Malek M.

PLoS One. 2017 Jan 26;12(1):e0170372. doi: 10.1371/journal.pone.0170372. eCollection 2017.

14.

A Many-Objective Particle Swarm Optimizer With Leaders Selected From Historical Solutions by Using Scalar Projections.

Xiang Y, Zhou Y, Chen Z, Zhang J.

IEEE Trans Cybern. 2018 Dec 14. doi: 10.1109/TCYB.2018.2884083. [Epub ahead of print]

PMID:
30571654
15.

Particle swarm optimization with recombination and dynamic linkage discovery.

Chen YP, Peng WC, Jian MC.

IEEE Trans Syst Man Cybern B Cybern. 2007 Dec;37(6):1460-70.

PMID:
18179066
16.

A modified comprehensive learning particle swarm optimizer and its application in cylindricity error evaluation problem.

Wu Q, Zhang CJ, Zhang MY, Yang FJ, Gao L.

Math Biosci Eng. 2019 Feb 18;16(3):1190-1209. doi: 10.3934/mbe.2019057.

17.

An Adaptive Cultural Algorithm with Improved Quantum-behaved Particle Swarm Optimization for Sonar Image Detection.

Wang X, Hao W, Li Q.

Sci Rep. 2017 Dec 18;7(1):17733. doi: 10.1038/s41598-017-17945-3.

18.

A hierarchical particle swarm optimizer and its adaptive variant.

Janson S, Middendorf M.

IEEE Trans Syst Man Cybern B Cybern. 2005 Dec;35(6):1272-82.

PMID:
16366251
19.

An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods.

Han H, Lu W, Qiao J.

IEEE Trans Cybern. 2017 Sep;47(9):2754-2767. doi: 10.1109/TCYB.2017.2692385. Epub 2017 Apr 17.

PMID:
28436915
20.

PSO-based multiobjective optimization with dynamic population size and adaptive local archives.

Leong WF, Yen GG.

IEEE Trans Syst Man Cybern B Cybern. 2008 Oct;38(5):1270-93. doi: 10.1109/TSMCB.2008.925757.

PMID:
18784011

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