127 related articles for article (PubMed ID: 31281336)
1. A Modified Dragonfly Optimization Algorithm for Single- and Multiobjective Problems Using Brownian Motion.
Acı Çİ; Gülcan H
Comput Intell Neurosci; 2019; 2019():6871298. PubMed ID: 31281336
[TBL] [Abstract][Full Text] [Related]
2. Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications.
Emambocus BAS; Jasser MB; Mustapha A; Amphawan A
Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833621
[TBL] [Abstract][Full Text] [Related]
3. Dragonfly Algorithm and Its Applications in Applied Science Survey.
Rahman CM; Rashid TA
Comput Intell Neurosci; 2019; 2019():9293617. PubMed ID: 31885533
[TBL] [Abstract][Full Text] [Related]
4. Modified Marine Predators Algorithm hybridized with teaching-learning mechanism for solving optimization problems.
Ma Y; Chang C; Lin Z; Zhang X; Song J; Chen L
Math Biosci Eng; 2023 Jan; 20(1):93-127. PubMed ID: 36650759
[TBL] [Abstract][Full Text] [Related]
5. Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes.
Daolio F; Liefooghe A; Verel S; Aguirre H; Tanaka K
Evol Comput; 2017; 25(4):555-585. PubMed ID: 27689467
[TBL] [Abstract][Full Text] [Related]
6. Modification of Fish Swarm Algorithm Based on Lévy Flight and Firefly Behavior.
Peng Z; Dong K; Yin H; Bai Y
Comput Intell Neurosci; 2018; 2018():9827372. PubMed ID: 30344601
[TBL] [Abstract][Full Text] [Related]
7. Advanced arithmetic optimization algorithm for solving mechanical engineering design problems.
Agushaka JO; Ezugwu AE
PLoS One; 2021; 16(8):e0255703. PubMed ID: 34428219
[TBL] [Abstract][Full Text] [Related]
8. An Opposition-Based Evolutionary Algorithm for Many-Objective Optimization with Adaptive Clustering Mechanism.
Wang WL; Li W; Wang YL
Comput Intell Neurosci; 2019; 2019():5126239. PubMed ID: 31191632
[TBL] [Abstract][Full Text] [Related]
9. Multiobjective optimization approach: thermal food processing.
Abakarov A; Sushkov Y; Almonacid S; Simpson R
J Food Sci; 2009; 74(9):E471-87. PubMed ID: 20492109
[TBL] [Abstract][Full Text] [Related]
10. A Hybridization of Dragonfly Algorithm Optimization and Angle Modulation Mechanism for 0-1 Knapsack Problems.
Wang L; Shi R; Dong J
Entropy (Basel); 2021 May; 23(5):. PubMed ID: 34066266
[TBL] [Abstract][Full Text] [Related]
11. Ringed Seal Search for Global Optimization via a Sensitive Search Model.
Saadi Y; Yanto IT; Herawan T; Balakrishnan V; Chiroma H; Risnumawan A
PLoS One; 2016; 11(1):e0144371. PubMed ID: 26790131
[TBL] [Abstract][Full Text] [Related]
12. A simulated annealing algorithm for prioritized multiobjective optimization--implementation in an adaptive model predictive control configuration.
Aggelogiannaki E; Sarimveis H
IEEE Trans Syst Man Cybern B Cybern; 2007 Aug; 37(4):902-15. PubMed ID: 17702288
[TBL] [Abstract][Full Text] [Related]
13. Chaotic Teaching-Learning-Based Optimization with Lévy Flight for Global Numerical Optimization.
He X; Huang J; Rao Y; Gao L
Comput Intell Neurosci; 2016; 2016():8341275. PubMed ID: 26941785
[TBL] [Abstract][Full Text] [Related]
14. Improved evolutionary optimization from genetically adaptive multimethod search.
Vrugt JA; Robinson BA
Proc Natl Acad Sci U S A; 2007 Jan; 104(3):708-11. PubMed ID: 17215363
[TBL] [Abstract][Full Text] [Related]
15. A new human-inspired metaheuristic algorithm for solving optimization problems based on mimicking sewing training.
Dehghani M; Trojovská E; Zuščák T
Sci Rep; 2022 Oct; 12(1):17387. PubMed ID: 36253404
[TBL] [Abstract][Full Text] [Related]
16. Multiswarm comprehensive learning particle swarm optimization for solving multiobjective optimization problems.
Yu X; Zhang X
PLoS One; 2017; 12(2):e0172033. PubMed ID: 28192508
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of a particle swarm algorithm for biomechanical optimization.
Schutte JF; Koh BI; Reinbolt JA; Haftka RT; George AD; Fregly BJ
J Biomech Eng; 2005 Jun; 127(3):465-74. PubMed ID: 16060353
[TBL] [Abstract][Full Text] [Related]
18. Nonlinear Inertia Weighted Teaching-Learning-Based Optimization for Solving Global Optimization Problem.
Wu ZS; Fu WP; Xue R
Comput Intell Neurosci; 2015; 2015():292576. PubMed ID: 26421005
[TBL] [Abstract][Full Text] [Related]
19. A Novel Particle Swarm Optimization Algorithm for Global Optimization.
Wang CF; Liu K
Comput Intell Neurosci; 2016; 2016():9482073. PubMed ID: 26955387
[TBL] [Abstract][Full Text] [Related]
20. Dynamic flight stability of a hovering model dragonfly.
Liang B; Sun M
J Theor Biol; 2014 May; 348():100-12. PubMed ID: 24486234
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
