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Codebase for the KBS paper: Granularity-based surrogate-assisted particle swarm optimization for high-dimensional expensive optimization

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
GPfitness.m		GPfitness.m
GPglobal.m		GPglobal.m
GrSAPSO.zip		GrSAPSO.zip
KRIGINGSLPSO_func.m		KRIGINGSLPSO_func.m
NDSort.m		NDSort.m
README.md		README.md
SLpsogetbound.m		SLpsogetbound.m
closeparallelpool.m		closeparallelpool.m
main.m		main.m
mainGPslpso.m		mainGPslpso.m
startparallelpool.m		startparallelpool.m
yao_func.m		yao_func.m

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Gr-based-SAPSO

Codebase for the KBS paper: Granularity-based surrogate-assisted particle swarm optimization for high-dimensional expensive optimization http://communications.elsevier.com/r/?id=h306e84b8,621951f9,374ba138&utm_campaign=STMJ_75273_AUTH_SERV_PPUB&utm_medium=email&utm_dgroup=Email1Publishing&utm_acid=-134171310&SIS_ID=-1&dgcid=STMJ_75273_AUTH_SERV_PPUB&CMX_ID=&utm_in=DM611894&utm_source=AC_30&p1=S0950705119302904

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Codebase for the KBS paper: Granularity-based surrogate-assisted particle swarm optimization for high-dimensional expensive optimization

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