High throughput computing based distributed genetic algorithm for building energy consumption optimization

[1]  Philippe Rigo,et al.  A review on simulation-based optimization methods applied to building performance analysis , 2014 .

[2]  Giuliano Fontanella,et al.  Energy analysis of chilled water system configurations using simulation-based optimization , 2013 .

[3]  Gevork B. Gharehpetian,et al.  Optimization of distributed generation capacities in buildings under uncertainty in load demand , 2013 .

[4]  Moncef Krarti,et al.  Optimization of energy efficiency and thermal comfort measures for residential buildings in Salamanca, Mexico , 2012 .

[5]  Zhang Hong-wu Design and implementation of general integrated optimization design software SiPESC.OPT , 2011 .

[6]  G. P. Maheshwari,et al.  Impact of shading air-cooled condensers on the efficiency of air-conditioning systems , 2010 .

[7]  Jlm Jan Hensen,et al.  Overview of HVAC system simulation , 2010 .

[8]  Fariborz Haghighat,et al.  Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and Artificial Neural Network , 2010 .

[9]  Kamel Ghali,et al.  Optimal control strategy for a multi-zone air conditioning system using a genetic algorithm , 2009 .

[10]  Luis Pérez-Lombard,et al.  A review on buildings energy consumption information , 2008 .

[11]  Paolo Traverso,et al.  Service-Oriented Computing: State of the Art and Research Challenges , 2007, Computer.

[12]  Vojislav Novakovic,et al.  Optimization of energy consumption in buildings with hydronic heating systems considering thermal comfort by use of computer-based tools , 2007 .

[13]  Weimin Wang,et al.  Applying multi-objective genetic algorithms in green building design optimization , 2005 .

[14]  Jack Dongarra,et al.  Computational Science: Ensuring America's Competitiveness , 2005 .

[15]  Douglas Thain,et al.  Distributed computing in practice: the Condor experience , 2005, Concurr. Pract. Exp..

[16]  Lihua Xie,et al.  HVAC system optimization—in-building section , 2005 .

[17]  Jonathan A. Wright,et al.  A comparison of deterministic and probabilistic optimization algorithms for nonsmooth simulation-based optimization , 2004 .

[18]  Jonathan A. Wright,et al.  Optimization of building thermal design and control by multi-criterion genetic algorithm , 2002 .

[19]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[20]  Tianzhen Hong,et al.  Building simulation: an overview of developments and information sources , 2000 .

[21]  Erick Cantú-Paz,et al.  A Survey of Parallel Genetic Algorithms , 2000 .

[22]  Peter Lund,et al.  Multivariate optimization of design trade-offs for solar low energy buildings , 1999 .

[23]  G.E. Moore,et al.  Cramming More Components Onto Integrated Circuits , 1998, Proceedings of the IEEE.