113 related articles for article (PubMed ID: 32205900)
1. Using Differential Evolution to Design Optimal Experiments.
Stokes Z; Mandal A; Wong WK
Chemometr Intell Lab Syst; 2020 Apr; 199():. PubMed ID: 32205900
[TBL] [Abstract][Full Text] [Related]
2. Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution.
Xu W; Wong WK; Tan KC; Xu J
IEEE Access; 2019; 7():7133-7146. PubMed ID: 31058044
[TBL] [Abstract][Full Text] [Related]
3. Combining convergence and diversity in evolutionary multiobjective optimization.
Laumanns M; Thiele L; Deb K; Zitzler E
Evol Comput; 2002; 10(3):263-82. PubMed ID: 12227996
[TBL] [Abstract][Full Text] [Related]
4. A new evolutionary algorithm for solving many-objective optimization problems.
Zou X; Chen Y; Liu M; Kang L
IEEE Trans Syst Man Cybern B Cybern; 2008 Oct; 38(5):1402-12. PubMed ID: 18784020
[TBL] [Abstract][Full Text] [Related]
5. Robustness of optimal design of fMRI experiments with application of a genetic algorithm.
Maus B; van Breukelen GJ; Goebel R; Berger MP
Neuroimage; 2010 Feb; 49(3):2433-43. PubMed ID: 19833212
[TBL] [Abstract][Full Text] [Related]
6. Optimal stoichiometric designs of ATP-producing systems as determined by an evolutionary algorithm.
Stephani A; Nuño JC; Heinrich R
J Theor Biol; 1999 Jul; 199(1):45-61. PubMed ID: 10419759
[TBL] [Abstract][Full Text] [Related]
7. A genetic algorithm for the automated generation of small organic molecules: drug design using an evolutionary algorithm.
Douguet D; Thoreau E; Grassy G
J Comput Aided Mol Des; 2000 Jul; 14(5):449-66. PubMed ID: 10896317
[TBL] [Abstract][Full Text] [Related]
8. MOMMOP: multiobjective optimization for locating multiple optimal solutions of multimodal optimization problems.
Wang Y; Li HX; Yen GG; Song W
IEEE Trans Cybern; 2015 Apr; 45(4):830-43. PubMed ID: 25099966
[TBL] [Abstract][Full Text] [Related]
9. Introducing robustness in multi-objective optimization.
Deb K; Gupta H
Evol Comput; 2006; 14(4):463-94. PubMed ID: 17109607
[TBL] [Abstract][Full Text] [Related]
10. Solving molecular docking problems with multi-objective metaheuristics.
García-Godoy MJ; López-Camacho E; García-Nieto J; Aldana-Montes AJ
Molecules; 2015 Jun; 20(6):10154-83. PubMed ID: 26042856
[TBL] [Abstract][Full Text] [Related]
11. Global WASF-GA: An Evolutionary Algorithm in Multiobjective Optimization to Approximate the Whole Pareto Optimal Front.
Saborido R; Ruiz AB; Luque M
Evol Comput; 2017; 25(2):309-349. PubMed ID: 26855136
[TBL] [Abstract][Full Text] [Related]
12. Multimodal optimization using a bi-objective evolutionary algorithm.
Deb K; Saha A
Evol Comput; 2012; 20(1):27-62. PubMed ID: 21591888
[TBL] [Abstract][Full Text] [Related]
13. Exploring the runtime of an evolutionary algorithm for the multi-objective shortest path problem.
Horoba C
Evol Comput; 2010; 18(3):357-81. PubMed ID: 20560760
[TBL] [Abstract][Full Text] [Related]
14. Conceptual comparison of population based metaheuristics for engineering problems.
Adekanmbi O; Green P
ScientificWorldJournal; 2015; 2015():936106. PubMed ID: 25874265
[TBL] [Abstract][Full Text] [Related]
15. An improved parent-centric mutation with normalized neighborhoods for inducing niching behavior in differential evolution.
Biswas S; Kundu S; Das S
IEEE Trans Cybern; 2014 Oct; 44(10):1726-37. PubMed ID: 25222717
[TBL] [Abstract][Full Text] [Related]
16. Algorithm-driven optimization of cryopreservation protocols for transfusion model cell types including Jurkat cells and mesenchymal stem cells.
Pollock K; Budenske JW; McKenna DH; Dosa PI; Hubel A
J Tissue Eng Regen Med; 2017 Oct; 11(10):2806-2815. PubMed ID: 27229375
[TBL] [Abstract][Full Text] [Related]
17. Efficient algorithms for protein sequence design and the analysis of certain evolutionary fitness landscapes.
Kleinberg JM
J Comput Biol; 1999; 6(3-4):387-404. PubMed ID: 10582574
[TBL] [Abstract][Full Text] [Related]
18. Differential evolution for protein folding optimization based on a three-dimensional AB off-lattice model.
Bošković B; Brest J
J Mol Model; 2016 Oct; 22(10):252. PubMed ID: 27696088
[TBL] [Abstract][Full Text] [Related]
19. On the construction of experimental designs for a given task by jointly optimizing several quality criteria: Pareto-optimal experimental designs.
Sánchez MS; Sarabia LA; Ortiz MC
Anal Chim Acta; 2012 Nov; 754():39-46. PubMed ID: 23140952
[TBL] [Abstract][Full Text] [Related]
20. Utilization of the Discrete Differential Evolution for Optimization in Multidimensional Point Clouds.
Uher V; Gajdoš P; Radecký M; Snášel V
Comput Intell Neurosci; 2016; 2016():6329530. PubMed ID: 27974884
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
