Presentation 2004/1/14
Designing Sensor Networks by a Generalized Highly Optimized Tolerance Model
Takaya MIYANO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A generalized highly optimized tolerance model with nonlinearly weighted risk function to search the optimal structure of a system is applied to a toy problem of determining the arrangement of hypothetical biosensors in a hypothetical airport terminal where a source of pathogenic virus or bacteria would be planted. The proposed model is shown to be able to generate a particular structure to truncate disastrously large events.
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Keyword(in English) HOT / COLD / complex systems / optimization / systems design / risk aversion
Paper # NLP2003-147
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Conference Information
Committee NLP
Conference Date 2004/1/14(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Designing Sensor Networks by a Generalized Highly Optimized Tolerance Model
Sub Title (in English)
Keyword(1) HOT
Keyword(2) COLD
Keyword(3) complex systems
Keyword(4) optimization
Keyword(5) systems design
Keyword(6) risk aversion
1st Author's Name Takaya MIYANO
1st Author's Affiliation Center for Promotion of the COE Program, Ritsumeikan University()
Date 2004/1/14
Paper # NLP2003-147
Volume (vol) vol.103
Number (no) 566
Page pp.pp.-
#Pages 5
Date of Issue