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Volumn 14, Issue 1, 2008, Pages 33-55

Evolutionary synthesis of HVAC system configurations: Algorithm development (RP-1049)

Author keywords

[No Author keywords available]

Indexed keywords

AIR CONDITIONING; ENERGY UTILIZATION; GENETIC ALGORITHMS; HEATING; OPTIMIZATION; VENTILATION;

EID: 38649086064     PISSN: 10789669     EISSN: None     Source Type: Journal    
DOI: 10.1080/10789669.2008.10390992     Document Type: Article
Times cited : (30)

References (26)
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    • Nassif, N., Kajl, S., and Sabourin, R., 2005. Optimization of HVAC control system strategy using two-objective genetic algorithm. HVAC&R Research, 11 (3):459–86.
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    • Runarsson, T.P.1    Yao, X.2
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    • Sowell, E., 2002. Oral Communication. See Appendix F of Wright et al. (2004).
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    • Sowell, E.1
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    • Applying multi-objective genetic algorithms in green building design optimization
    • Wang, W., Zmeireanu, R., and Rivard, H., 2005. Applying multi-objective genetic algorithms in green building design optimization. Building and Environment, 40 (11):1512–25.
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    • The formulation, characteristics, and solution of HVAC system optimized design problems
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    • Evolutionary synthesis of HVAC system configurations: Experimental results
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.