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Evolution by Adapting Surrogates

Le, MN, Ong, YS, Menzel, S, Jin, Y and Sendhoff, B (2013) Evolution by Adapting Surrogates EVOLUTIONARY COMPUTATION, 21 (2). pp. 313-340.

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Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Le, MN
Ong, YS
Menzel, S
Jin, Y
Sendhoff, B
Date : 1 June 2013
DOI : 10.1162/EVCO_a_00079
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Theory & Methods, Computer Science, Evolutionary algorithms, memetic computing, computationally expensive problems, metamodelling, surrogates, adaptation, evolvability, ASSISTED MEMETIC ALGORITHM, EXPENSIVE FUNCTIONS, MULTIOBJECTIVE OPTIMIZATION, ENGINEERING APPLICATIONS, FITNESS APPROXIMATION, MODELS, FRAMEWORK, ENSEMBLE, COMPUTATION, DESIGN
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Additional Information : Evolution by Adapting Surrogates, EVOLUTIONARY COMPUTATION, 21, 2 (313-340)2013 Copyright Massachusetts Institute of Technology Press 2013
Depositing User : Symplectic Elements
Date Deposited : 05 Dec 2014 14:38
Last Modified : 31 Oct 2017 17:11

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