A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling

R Cheng; Y Jin; K Narukawa; B Sendhoff

doi:10.1109/TEVC.2015.2395073

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A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling

Journal article

Peer reviewed

A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling

R Cheng, Y Jin, K Narukawa and B Sendhoff

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, Vol.19(6), pp.838-856

01/12/2015

DOI: https://doi.org/10.1109/TEVC.2015.2395073

Abstract

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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Title: A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling
Creators: R Cheng
Y Jin
K Narukawa
B Sendhoff
Publication Details: IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, Vol.19(6), pp.838-856
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Date published: 01/12/2015
Date submitted: 12/03/2016
Identifiers: 99511742202346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling

Abstract

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