A comparison of global optimization algorithms with standard benchmark functions and real-world applications using EnergyPlus

References

• Audet , C. and Dennis , J. E. 2002 . Analysis of generalised pattern searches . SIAM Journal of Optimization , 13 ( 3 ) : 889 – 903 .
   Web of Science ®Google Scholar
• Bradley , D. and Kummert , M. New evolutions in Trnsys – a selection of version 16 features . 9th international IBPSA conference . August 12–15 , Montreal, Canada. pp. 107 – 114 . IBPSA . Available online at www.ibpsa.org
   Google Scholar
• Bui , L. T. , Soliman , O. and Abbass , H. A. 2007 . “ A modified strategy for the constriction factor in particle swarm optimization ” . In Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics). Vol. 4828 LNAI , Vol. 4828 , 333 – 344 . Berlin/Heidelberg : Springer-Verlag .
   Google Scholar
• Caldas , L. G. and Norford , L. K. 2002 . A design optimization tool based on a genetic algorithm . Automation in Construction , 11 ( 2 ) : 173 – 184 .
   Web of Science ®Google Scholar
• Chang , C. F. 2007 . Robust searching hybrid differential evolution method for optimal reactive power planning in large-scale distribution systems . Electric Power Systems Research , 77 ( 5–6 ) : 430 – 437 .
   Web of Science ®Google Scholar
• Clarke , J. 2001 . Energy simulation in building design , Oxford : Butterworth-Heinemann .
   Google Scholar
• Deru , M. and Torcellini , P. 2007 . Source energy and emission factors for energy use in buildings Nrel/tp-550-38617. Technical Report, National Renewable Energy Laboratory, US Department of Energy
   Google Scholar
• Eberhart , R. C. and Kennedy , J. A new optimizer using particle swarm theory . 6th international symposium on micro machine and human science . October , Nagoya, Japan. pp. 39 – 43 . IBPSA . Available online at www.ibpsa.org
   Google Scholar
• ENE . 2009 . EnergyPlus Engineering Reference: The Reference to EnergyPlus Calculations, April 2009 Technical report, US Department of Energy
   Google Scholar
• Feoktistov , V. 2006 . Differential evolution: in search of solutions , New York : Springer Science + Business Media .
   Google Scholar
• Hansen , N. and Kern , S. 2004 . “ Evaluating the CMA evolution strategy on multimodal test functions ” . In Parallel problem solving from nature, PPSN 2004 , Berlin/Heidelberg : Springer-Verlag .
   Google Scholar
• Hansen , N. and Ostermeier , A. 2001 . Completely derandomized self-adaptation in evolution strategies . Evolutionary Computation , 9 ( 2 ) : 159 – 195 .
   PubMed Web of Science ®Google Scholar
• Hooke , R. and Jeeves , T. 1961 . Direct search solutions of numerical and statistical problems . Journal of the Association for Computing Machinery , 8 : 212 – 229 .
   Google Scholar
• Kämpf , J. H. and Robinson , D. 2009 . A hybrid CMA-ES and HDE optimization algorithm with application to solar energy potential . Applied Soft Computing , 9 : 738 – 745 .
   Web of Science ®Google Scholar
• Lewis , R. M. and Torczon , V. J. 1999 . Pattern search algorithms for bound constrained minimization . SIAM Journal on Optimization , : 1082 – 1099 .
   Google Scholar
• Mann , H. B. and Whitney , D. R. 1947 . On a test of whether one of two random variables is stochastically larger than the other . Annals of Mathematical Statistics , 18 : 50 – 60 .
   Google Scholar
• Michalewicz , Z. and Schoenauer , M. 1996 . Evolutionary algorithms for constrained parameter optimization problems . Evolutionary Computation , 4 ( 1 ) : 1 – 32 .
   Web of Science ®Google Scholar
• Parsopoulos , K. E. and Vrahatis , M. N. 2002 . Recent approaches to global optimization problems through particle swarm optimization . Natural Computing , 1 : 235 – 306 .
   Google Scholar
• Shang , Y. W. and Qiu , Y. H. 2006 . A note on the extended rosenbrock function . Evolutionary Computation , 14 ( 1 ) : 119 – 126 . PMID: 16536893
   PubMed Web of Science ®Google Scholar
• Torczon , V. 1997 . On the convergence of pattern search algorithms . SIAM Journal on Optimization , 7 ( 1 ) : 1 – 25 .
   Web of Science ®Google Scholar
• Watson , D. and Crosbie , M. J. 2004 . Time-saver standards for architectural design , 8th ed , McGraw-Hill .
   Google Scholar
• Wetter , M. 2004 . GenOpt, Generic optimization program, user manual, Version 2.0.0 Technical report LBNL-54199, Berkeley, CA: Lawrence Berkeley National Laboratory
   Google Scholar
• Wetter , M. and Wright , J. 2004 . A comparison of deterministic and probabilistic optimization algorithms for nonsmooth simulation-based optimization . Building and Environment , 39 ( 8 SPEC ISS ) : 989 – 999 .
   Google Scholar
• Wetter , M. and Polak , E. 2004 . A convergent optimization method using pattern search algorithms with adaptive precision simulation . Building Services Engineering Research and Technology , 25 ( 4 ) : 327 – 338 .
   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 .
   Web of Science ®Google Scholar