Multi-disciplinary optimization in the early stages of design

42nd ASES National Solar Conference 2013, SOLAR 2013, Including 42nd ASES Annual Conference and 38th National Passive Solar Conference

Volumn , Issue , 2013, Pages 258-265

  Singh, Sukreet ^a   Kensek, Karen ^b  

^a Cuningham Group   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SOFTWARE; DESIGN; ECONOMIC AND SOCIAL EFFECTS; ENVIRONMENTAL IMPACT; OPTIMIZATION; SUSTAINABLE DEVELOPMENT;

ANALYTICAL DESIGN; CLIENT REQUIREMENT; DESIGN APPROACHES; MULTI-DISCIPLINARY OPTIMIZATIONS; MULTIDISCIPLINARY OPTIMIZATION TECHNIQUES; PRELIMINARY DESIGN; SIMULATION SOFTWARE; SUSTAINABLE DESIGN;

ARCHITECTURAL DESIGN;

EID: 84933513821     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Design Builder "Help v3.0: Optimization" - http://www.designbuilder.co.uk/helpv3.0/#Optimisation.htm, last accessed February 2013.
2. Coello Coello, C.A. et al. 2007 Evolutionary Algorithms for Solving Multi-objective problems, Genetic and Evolutionary Computation Series, 2nd ed, New York.
3. Wu, Geman et. al. Studies in Preliminary Design of Fenestration: Balancing daylight harvesting and energy consumption, " PLEA 2012 (28th International PLEA Conference -Design Tools and Methods), Lima, Peru, November 2012.
4. Miller, Nathan 2011, Introduction: USC Arch 517 Galapagos Course, The proving ground, http://wiki.theprovingground.org/usc-arch517-galapagos, last accessed January 2013.
5. Haupt, R.L. and Haupt S.E. 2004. Practical genetic algorithms. Hoboken, NJ, John Wiley, pp. 97-103.