Presentation	2002/9/24 Study of multi objective optimization using genetic algorithm Tetsunori WADA,
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Abstract(in English)	Multi-objective optimization method using Genetic Algorithm is proposed. When K functions f_i(p) (i=1, 2,...K) is given as objects of optimization, parent are selected using every combination of i-th and j-th fitness value (i, i ⊂ 1 ,2,...K). Then 2 genes are created by crossing method used in "bit-coded GA", and 1 gene are created along the line in p-space passing points corresponding to parent gene. The latter method is used in the "real coded GA". And 2 better genes are selected between these 3 genes. This makes the distribution of genes in the p-space more smooth and suitable. As an example, Vth and I_ of nMOSFET(0.1 m gate-length), calculated by device simulator, are optimized simultaneously as a function of device structure parameter.
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Keyword(in English)	multi-objective optimization / genetic algorithm / TCAD / simulation
Paper #	VLD2002-80
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Conference Information
Committee	VLD
Conference Date	2002/9/24(1days)
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Paper Information
Registration To	VLSI Design Technologies (VLD)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Study of multi objective optimization using genetic algorithm
Sub Title (in English)
Keyword(1)	multi-objective optimization
Keyword(2)	genetic algorithm
Keyword(3)	TCAD
Keyword(4)	simulation
1st Author's Name	Tetsunori WADA
1st Author's Affiliation	System LSI Development Center, Toshiba Corporation Semiconductor Company.()
Date	2002/9/24
Paper #	VLD2002-80
Volume (vol)	vol.102
Number (no)	345
Page	pp.pp.-
#Pages	6
Date of Issue