Evolution by Adapting Surrogates

MN Le; YS Ong; S Menzel; Y Jin; B Sendhoff

doi:10.1162/EVCO_a_00079

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Evolution by Adapting Surrogates

MN Le, YS Ong, S Menzel, Y Jin and B Sendhoff

EVOLUTIONARY COMPUTATION, Vol.21(2), pp.313-340

01/06/2013

DOI: https://doi.org/10.1162/EVCO_a_00079

Abstract

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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Title: Evolution by Adapting Surrogates
Creators: MN Le
YS Ong
S Menzel
Y Jin
B Sendhoff
Publication Details: EVOLUTIONARY COMPUTATION, Vol.21(2), pp.313-340
Publisher: MIT PRESS
Date published: 01/06/2013
Date submitted: 23/11/2014
Identifiers: 99511665202346
Academic Unit: Department of Computer Science
Language: English
Resource Type: Journal article

Evolution by Adapting Surrogates

Abstract

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