Multiple infill criterion-assisted hybrid evolutionary optimization for medium-dimensional computationally expensive problems
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2198-6053
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Multiple infill criterion-assisted hybrid evolutionary optimization for medium-dimensional computationally expensive problems ; day:5 ; month:10 ; year:2021 ; pages:1-13
Complex & intelligent systems ; (5.10.2021), 1-13
- Urheber
-
Qin, Shufen
Li, Chan
Sun, Chaoli
Zhang, Guochen
Li, Xiaobo
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s40747-021-00541-4
- URN
-
urn:nbn:de:101:1-2021122217495430808551
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Qin, Shufen
- Li, Chan
- Sun, Chaoli
- Zhang, Guochen
- Li, Xiaobo
- SpringerLink (Online service)
Ähnliche Objekte (12)
Bi-indicator driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models
A multi-model assisted differential evolution algorithm for computationally expensive optimization problems
Surrogate-assisted evolutionary algorithms for expensive combinatorial optimization: a survey
Surrogate-assisted evolutionary algorithm for expensive constrained multi-objective discrete optimization problems
Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems
Parametric emulation and inference in computationally expensive integrated urban water quality simulators
A surrogate-based cooperative optimization framework for computationally expensive black-box problems
Practical initialization of the Nelder–Mead method for computationally expensive optimization problems
Evolutionary Computation for Expensive Optimization: A Survey
Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection
An adaptive model switch-based surrogate-assisted evolutionary algorithm for noisy expensive multi-objective optimization
Bi-indicator driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models
A multi-model assisted differential evolution algorithm for computationally expensive optimization problems
Surrogate-assisted evolutionary algorithms for expensive combinatorial optimization: a survey
Surrogate-assisted evolutionary algorithm for expensive constrained multi-objective discrete optimization problems
Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems
Parametric emulation and inference in computationally expensive integrated urban water quality simulators
A surrogate-based cooperative optimization framework for computationally expensive black-box problems
Practical initialization of the Nelder–Mead method for computationally expensive optimization problems
Evolutionary Computation for Expensive Optimization: A Survey
Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection
An adaptive model switch-based surrogate-assisted evolutionary algorithm for noisy expensive multi-objective optimization
Bi-indicator driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models
A multi-model assisted differential evolution algorithm for computationally expensive optimization problems
Surrogate-assisted evolutionary algorithms for expensive combinatorial optimization: a survey
Surrogate-assisted evolutionary algorithm for expensive constrained multi-objective discrete optimization problems
Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems
Parametric emulation and inference in computationally expensive integrated urban water quality simulators
A surrogate-based cooperative optimization framework for computationally expensive black-box problems
Practical initialization of the Nelder–Mead method for computationally expensive optimization problems
Evolutionary Computation for Expensive Optimization: A Survey
Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection