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A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling

Cheng, R, Jin, Y, Narukawa, K and Sendhoff, B (2015) A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 19 (6). pp. 838-856.

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Item Type: Article
Authors :
AuthorsEmailORCID
Cheng, RUNSPECIFIEDUNSPECIFIED
Jin, YUNSPECIFIEDUNSPECIFIED
Narukawa, KUNSPECIFIEDUNSPECIFIED
Sendhoff, BUNSPECIFIEDUNSPECIFIED
Date : 1 December 2015
Identification Number : https://doi.org/10.1109/TEVC.2015.2395073
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Theory & Methods, Computer Science, Estimation of distribution algorithms (EDAs), Gaussian processes (GPs), inverse modeling, multiobjective optimization (MOO), random grouping, MANY-OBJECTIVE OPTIMIZATION, GENETIC LOCAL SEARCH, OF-THE-ART, PARETO SETS, REGULARITY, HYPERVOLUME, COMPUTATION, REDUCTION, PROXIMITY, DIVERSITY
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Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 10:58
Last Modified : 28 Mar 2017 10:58
URI: http://epubs.surrey.ac.uk/id/eprint/810218

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