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Volumn , Issue , 2012, Pages 142-147

Simulated annealing based approach for near-optimal sensor selection in Gaussian Processes

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONALLY EFFICIENT; COMPUTER GENERATED; GAUSSIAN PROCESSES; MINIMISATION; NEAR-OPTIMAL; OUTDOOR ENVIRONMENT; POTENTIAL SENSOR; REAL-WORLD; ROOT-MEAN-SQUARE PREDICTIONS; SENSOR MEASUREMENTS; SENSOR SELECTION; SENSOR SELECTION PROBLEM;

EID: 84874783938     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCAIS.2012.6466575     Document Type: Conference Paper
Times cited : (12)

References (17)
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    • Ko, C.1    Lee, J.2    Queyranne, M.3
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    • Sensor placement for onorbit modal identification via a genetic algorithm
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    • Yao, L.1    Sethares, W.A.2    Kammer, D.C.3
  • 10
    • 33748636920 scopus 로고    scopus 로고
    • A survey of simulated annealing as a tool for single and multiobjective optimization
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    • Study of simulated annealing based multiobjective algorithm for multiobjective optimization of a constrained problem
    • B. Suman, Study of simulated annealing based multiobjective algorithm for multiobjective optimization of a constrained problem, Computer and Chemical Engineering, vol. 28, 2004, pp 1849-1871
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.