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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 :
AuthorsEmailORCID
Le, MNUNSPECIFIEDUNSPECIFIED
Ong, YSUNSPECIFIEDUNSPECIFIED
Menzel, SUNSPECIFIEDUNSPECIFIED
Jin, YUNSPECIFIEDUNSPECIFIED
Sendhoff, BUNSPECIFIEDUNSPECIFIED
Date : 1 June 2013
Identification Number : 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
Related URLs :
Additional Information : Evolution by Adapting Surrogates, EVOLUTIONARY COMPUTATION, 21, 2 (313-340)2013 http://www.mitpressjournals.org/doi/abs/10.1162/EVCO_a_00079#.VIHAmjGsV8E Copyright Massachusetts Institute of Technology Press 2013
Depositing User : Symplectic Elements
Date Deposited : 05 Dec 2014 14:38
Last Modified : 05 Dec 2014 14:38
URI: http://epubs.surrey.ac.uk/id/eprint/806701

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