An Application of Genetic Algorithm Search Techniques to the Future Total Exergy Input/Output Estimation

References

• Caldas , L. G. and Norford , L. K. 2003 . Genetic algorithms for optimization of building envelopes and the design and control of HVAC systems . Journal of Solar Energy Engineering , 125 ( 3 ) : 343 – 351 . [CSA]
   Web of Science ®Google Scholar
• Canyurt , O. E. 2002 . Cellular models of computation in structural analysis and design , PhD Thesis USA : Rensselaer Polytechnic Institute .
   Google Scholar
• Ceylan , H. , Ozturk , H. K. , Hepbasli , A. and Utlu , Z. 2005 . Estimating energy and exergy production and consumption values using three different genetic algorithm approaches. Part 2: Application and scenarios . Energy Sources , 27 ( 7 ) : 629 – 639 . [CSA]
   Web of Science ®Google Scholar
• Chow , T. T. , Chan , A. L. S. and Song , C. L. 2004 . Building-mix optimization in district cooling system implementation . Applied Energy , 77 ( 1 ) : 1 – 13 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Coley , D. A. and Schukat , S. 2002 . Low-energy design: Combining computer-based optimization and human judgement . Building and Environment , 37 ( 12 ) : 1241 – 1247 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Dincer , I. 2002 . The role of exergy in energy policy making . Energy Policy , 30 ( 2 ) : 137 – 149 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Dincer , I. and Dost , S. 1996 . Energy intensities for Canada . Applied Energy , 53 ( 3 ) : 283 – 298 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Dincer , I. , Hussain , M. M. and Al-Zaharnah , I. 2004 . Energy and exergy use in public and private sector of Saudi Arabia . Energy Policy , 32 ( 14 ) : 1615 – 1624 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Dunn , L. C. and Dobhansky , T. 1950 . Principles of Genetics , New York : McGraw Hill .
   Google Scholar
• Goel , S. 1998 . Machine learning paradigm in design optimization , PhD Thesis USA : Rensselaer Polytechnic Institute .
   Google Scholar
• Goldberg , D. E. 1989 . Genetic Algorithms in Search, Optimization, and Machine Learning , Harlow, , England : Addison Wesley .
   Google Scholar
• Handebilen , S. and Ceylan , H. 2005 . Genetic algorithm approach to estimate transport energy demand in Turkey . Energy Policy , 33 ( 1 ) : 89 – 98 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Hepbasli , A. , Oturanc , G. , Kurnaz , A. , Ergin , E. , Genc , A. and Iyit , N. 2002 . Simple correlations for estimating the energy production of Turkey . Energy Sources , 24 ( 9 ) : 855 – 867 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Holland , J. H. 1975 . Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , Ann Arbor, MI : University of Michigan Press .
   Google Scholar
• Kalogirou , S. A. 2004 . Optimization of solar systems using artificial neural-networks and genetic algorithms . Applied Energy , 77 ( 4 ) : 383 – 405 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Manolas , D. A. , Frangopoulos , C. A. , Gialamas , T. P. and Tsahalis , D. T. 1997 . Operation optimization of an industrial generation system by a genetic algorithm . Energy Convers. Mgmt. , 38 ( 15–17 ) : 1625 – 1636 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• 2003 . The Ministry of Energy and Natural Resources (MENR) http://www.enerji.gov.tr (in Turkish)
   Google Scholar
• Pereira , C. M. N.A. and Lapa , C. M. F. 2003 . Parallel island genetic algorithm applied to a nuclear power plant auxiliary feedwater system surveillance tests policy optimization . Annals of Nuclear Energy , 30 ( 16 ) : 1665 – 1675 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Sacco , W. F. , Pereira , C. M. N. A. , Soares , P. P. M. and Schirru , R. 2002 . Genetic algorithms applied to turbine extraction optimization of a pressurized-water reactor . Applied Energy , 73 ( 3–4 ) : 217 – 222 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• State Statistics Institute (SIS) . 2003 . http://www.die.gov.tr (in Turkish)
   Google Scholar
• Utlu , Z. 2003 . Analysis of Turkey's sectoral energy and exergy utilization efficiency by , PhD Thesis 2023 Turkey : Solar Energy Institute, Ege University, Izmir . (in Turkish)
   Google Scholar
• World Energy Council–Turkish National Committee (WEC–TNC) . 1999 . 1998 Energy Report , Ankara, , Turkey : Poyraz Ofset (in Turkish) .
   Google Scholar
• Wright , J. A. , Loosemore , H. A. and Farmani , R. 2002 . Optimization of building thermal design and control by multi-criterion genetic algorithm . Energy and Buildings , 34 ( 9 ) : 959 – 972 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Zhang , L. , Zhang , N. , Zhao , F. and Chen , Y. A. 2004 . A genetic-algorithm-based experimental technique for determining heat transfer coefficient of exterior wall surface . Applied Thermal Engineering , 24 ( 2–3 ) : 339 – 349 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar