E-LIB Suche - Ergebnisse für: Fieldsend, Jonathan E.

1

Exploring the Uncertainty of Approximated Fitness Landscape..:

, In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI),

Karatas, Melike D. ; Goodfellow, Marc ; Fieldsend, Jonathan E. - p. 947-952 , 2023

Link: https://doi.org/10.1109/..

2

PRoA: A Probabilistic Robustness Assessment Against Functio..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,

Zhang, Tianle ; Ruan, Wenjie ; Fieldsend, Jonathan E. - p. 154-170 , 2023

Link: https://doi.org/10.1007/..

3

Many-Objective Quality Measures:

, In: Natural Computing Series; Many-Criteria Optimization and Decision Analysis,

Afsar, Bekir ; Fieldsend, Jonathan E. ; Guerreiro, Andreia P.... - p. 113-148 , 2023

Link: https://doi.org/10.1007/..

4

On the Active Use of an ND-Tree-Based Archive for Multi-Obj..:

, In: Lecture Notes in Computer Science; Artificial Evolution,

Fieldsend, Jonathan E. - p. 1-14 , 2023

Link: https://doi.org/10.1007/..

5

Proceedings of the Genetic and Evolutionary Computation Con..:

Fieldsend, Jonathan E. ; Wagner, Markus , 2022

Link: https://dl.acm.org/doi/1..

6

Proceedings of the Genetic and Evolutionary Computation Con..:

Fieldsend, Jonathan E. ; Wagner, Markus , 2022

Link: https://dl.acm.org/doi/1..

7

A Visualizable Test Problem Generator for Many-Objective Op..:

Fieldsend, Jonathan E. ; Chugh, Tinkle ; Allmendinger, Richard.
IEEE Transactions on Evolutionary Computation. 26 (2022) 1 - p. 1-11 , 2022

Link: https://doi.org/10.1109/..

8

Key reaction components affect the kinetics and performance..:

Banks, Alice M. ; Whitfield, Colette J. ; Brown, Steven R....
Computational and Structural Biotechnology Journal. 20 (2022) - p. 218-229 , 2022

Link: https://doi.org/10.1016/..

9

Guiding surrogate-assisted multi-objective optimisation wit..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,

Gibson, Finley J. ; Everson, Richard M. ; Fieldsend, Jonathan E. - p. 786-795 , 2022

Link: https://dl.acm.org/doi/1..

10

Optimising Diversity in Classifier Ensembles:

Ivaşcu, Carina ; Everson, Richard M. ; Fieldsend, Jonathan E.
SN Computer Science. 3 (2022) 3 - p. , 2022

Link: https://doi.org/10.1007/..

11

How Bayesian should Bayesian optimisation be?:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,

De Ath, George ; Everson, Richard M. ; Fieldsend, Jonathan E. - p. 1860-1869 , 2021

Link: https://dl.acm.org/doi/1..

12

Multi-Objective Bayesian Optimisation Using an Exploitative..:

, In: 2021 IEEE Congress on Evolutionary Computation (CEC),

Gibson, Finley J. ; Everson, Richard M. ; Fieldsend, Jonathan E. - p. 1503-1510 , 2021

Link: https://doi.org/10.1109/..

13

Multimodal Optimization: Formulation, Heuristics, and a Dec..:

, In: Natural Computing Series; Metaheuristics for Finding Multiple Solutions,

Preuss, Mike ; Epitropakis, Michael ; Li, Xiaodong. - p. 1-26 , 2021

Link: https://doi.org/10.1007/..

14

Reduced Models of Gene Regulatory Networks: Visualising Mul..:

, In: Natural Computing Series; Metaheuristics for Finding Multiple Solutions,

Alyahya, Khulood ; Doherty, Kevin ; Akman, Ozgur E.. - p. 229-258 , 2021

Link: https://doi.org/10.1007/..

15

Non-dominated sorting on performance indicators for evoluti..:

Wang, Hao ; Sun, Chaoli ; Zhang, Guochen..
Information Sciences. 551 (2021) - p. 23-38 , 2021

Link: https://doi.org/10.1016/..