A gaussian process surrogate model assisted evolutionary algorithm for medium scale expensive optimization problems

IEEE Transactions on Evolutionary Computation

Volumn 18, Issue 2, 2014, Pages 180-192

  Liu, Bo ^a   Zhang, Qingfu ^b,c   Gielen, Georges G E ^d  

^a GLYNDWR UNIVERSITY   (United Kingdom)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c UNIVERSITY OF ESSEX   (United Kingdom)

^d UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Dimension reduction; expensive optimization; Gaussian process; prescreening; space mapping; surrogate model assisted evolutionary computation; surrogate models

Indexed keywords

COMPUTER AIDED DESIGN; COMPUTER SIMULATION; DECISION MAKING; EVOLUTIONARY ALGORITHMS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); OPTIMIZATION; POWER AMPLIFIERS;

DIMENSION REDUCTION; GAUSSIAN PROCESSES; PRESCREENING; SPACE MAPPINGS; SURROGATE MODEL;

FUEL ADDITIVES;

EID: 84897495688     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEVC.2013.2248012     Document Type: Article

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