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Volumn , Issue , 2014, Pages 292-299

Performance based architectural design optimization: Automated 3D space layout using simulated annealing

Author keywords

[No Author keywords available]

Indexed keywords

ARCHITECTURE; DECISION MAKING; ENVIRONMENTAL MANAGEMENT; MULTIOBJECTIVE OPTIMIZATION; SIMULATED ANNEALING; STRUCTURAL DESIGN;

EID: 84938862924     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (31)
  • 1
    • 84871747122 scopus 로고    scopus 로고
    • Dynamic site layout planning through minimization of total potential energy
    • Andayesh, M. and Sadeghpour, F. 2013. Dynamic site layout planning through minimization of total potential energy, Automation in Construction 31: 92-102
    • (2013) Automation in Construction , vol.31 , pp. 92-102
    • Andayesh, M.1    Sadeghpour, F.2
  • 2
    • 0011104165 scopus 로고
    • Modeling architectural design objectives in physically based space planning
    • Arbin, S.A. and House, D.H. 1993. Modeling architectural design objectives in physically based space planning, Media and Design Process 2: 212-225
    • (1993) Media and Design Process , vol.2 , pp. 212-225
    • Arbin, S.A.1    House, D.H.2
  • 6
    • 77951116397 scopus 로고    scopus 로고
    • A survey of computational approaches to three-dimensional layout problems
    • Cagan, J., Shimada, K., and Yin, S. 2000. A survey of computational approaches to three-dimensional layout problems, Computer Aided Design
    • (2000) Computer Aided Design
    • Cagan, J.1    Shimada, K.2    Yin, S.3
  • 7
    • 0036462649 scopus 로고    scopus 로고
    • A design optimization tool based on a genetic algorithm
    • Caldas, L. and Norford, L. 2002. A design optimization tool based on a genetic algorithm, Automation in Construction 11: 173-184
    • (2002) Automation in Construction , vol.11 , pp. 173-184
    • Caldas, L.1    Norford, L.2
  • 8
    • 0025722246 scopus 로고
    • Layout design using the analytic hierarchy process
    • Cambron, K.E. and Evans, G.W. 1991. Layout design using the analytic hierarchy process, Computer & Industrial Engineering, 20(2): 211-229
    • (1991) Computer & Industrial Engineering , vol.20 , Issue.2 , pp. 211-229
    • Cambron, K.E.1    Evans, G.W.2
  • 9
    • 0003104025 scopus 로고    scopus 로고
    • An evolutionary approach to generating constraint-based space layout topologies
    • München, Germany
    • Damski, J.C. and Gero, J.S. 1997. An evolutionary approach to generating constraint-based space layout topologies, in Proceedings of CAAD Futures, München, Germany: 855-864
    • (1997) Proceedings of CAAD Futures , pp. 855-864
    • Damski, J.C.1    Gero, J.S.2
  • 11
    • 34247514060 scopus 로고    scopus 로고
    • Knowledge-informed pareto simulated annealing for multi-objective spatial allocation
    • Duh, J.D. and Brown, D. 2007. Knowledge-informed Pareto simulated annealing for multi-objective spatial allocation, Computers, Environment and Urban Systems 31: 253-281
    • (2007) Computers, Environment and Urban Systems , vol.31 , pp. 253-281
    • Duh, J.D.1    Brown, D.2
  • 12
    • 0032121876 scopus 로고    scopus 로고
    • Evolving design genes in space layout problems
    • Gero, J. and Kazakov, V. 1998. Evolving design genes in space layout problems, Artificial Intelligence in Engineering 12(3): 163-176
    • (1998) Artificial Intelligence in Engineering , vol.12 , Issue.3 , pp. 163-176
    • Gero, J.1    Kazakov, V.2
  • 15
    • 84886645991 scopus 로고    scopus 로고
    • Conceptual eenergy modeling for architecture, planning and design: Impact of using building performance simulation in early design stages
    • 13th Conference of IBPSA, Chambéry, France
    • Hemsath, T. 2013. Conceptual Eenergy Modeling for Architecture, Planning and Design: Impact of Using Building Performance Simulation in Early Design Stages, Proceedings of BS 2013, 13th Conference of IBPSA, Chambéry, France: 376-384
    • (2013) Proceedings of BS 2013 , pp. 376-384
    • Hemsath, T.1
  • 16
    • 0032123751 scopus 로고    scopus 로고
    • Space layout planning using an evolutionary approach
    • Jo, J. and Gero, J. 1998. Space layout planning using an evolutionary approach, Artificial Intelligence in Engineering 12(3): 149-162
    • (1998) Artificial Intelligence in Engineering , vol.12 , Issue.3 , pp. 149-162
    • Jo, J.1    Gero, J.2
  • 17
    • 84972487889 scopus 로고
    • Simulated annealing: Theory and applications, dordrecht
    • Laarhoven, P.J.M. and Aarts, E.H.L. 1993. Simulated Annealing: Theory and Applications, Dordrecht, Statistical Science 8(1): 10-15
    • (1993) Statistical Science , vol.8 , Issue.1 , pp. 10-15
    • Laarhoven, P.J.M.1    Aarts, E.H.L.2
  • 18
    • 0002196669 scopus 로고
    • Use of graphs to decide the optimum layout of buildings
    • Levin, P.H. 1964. Use of Graphs to Decide the Optimum Layout of Buildings, Architect 14: 809-815
    • (1964) Architect , vol.14 , pp. 809-815
    • Levin, P.H.1
  • 19
    • 0033895629 scopus 로고    scopus 로고
    • Automated facilities layout: Past, present, and future
    • Liggett, R.S. 2000. Automated facilities layout: past, present, and future, Automation in Construction 9: 197-215
    • (2000) Automation in Construction , vol.9 , pp. 197-215
    • Liggett, R.S.1
  • 20
    • 0019608479 scopus 로고
    • Optimal space planning in practice
    • Liggett, R.S. and Mitchell, W. 1981. Optimal space planning in practice, Computer-Aided Design 13(5): 277-288
    • (1981) Computer-Aided Design , vol.13 , Issue.5 , pp. 277-288
    • Liggett, R.S.1    Mitchell, W.2
  • 21
    • 0036753503 scopus 로고    scopus 로고
    • Architectural layout design optimization
    • Michalek, J.J., Choudhary, R., and Papalambros, P.Y. 2002. Architectural layout design optimization, Eng. Opt. 34(5): 461-484
    • (2002) Eng. Opt , vol.34 , Issue.5 , pp. 461-484
    • Michalek, J.J.1    Choudhary, R.2    Papalambros, P.Y.3
  • 22
    • 0032314483 scopus 로고    scopus 로고
    • Facilities layout design by genetic algorithms
    • Moghaddain, R.T. and Shayan, E. 1998. Facilities Layout Design by Genetic Algorithms, Computers ind. Engng 35: 527-530
    • (1998) Computers Ind. Engng , vol.35 , pp. 527-530
    • Moghaddain, R.T.1    Shayan, E.2
  • 23
    • 84884241256 scopus 로고    scopus 로고
    • Performance of global optimization models for dynamic site layout planning of construction projects
    • Said, H. and El-Rayes, K. 2013. Performance of global optimization models for dynamic site layout planning of construction projects, Automation in Construction 36: 71-78
    • (2013) Automation in Construction , vol.36 , pp. 71-78
    • Said, H.1    El-Rayes, K.2
  • 24
    • 40249111532 scopus 로고    scopus 로고
    • Metamodeling by symbolic regression and pareto simulated annealing
    • Stinstra, E., Rennen, G., and Teeuwen, G. 2008. Metamodeling by symbolic regression and pareto simulated annealing, Struct Multidisc Optim 35: 315-326
    • (2008) Struct Multidisc Optim , vol.35 , pp. 315-326
    • Stinstra, E.1    Rennen, G.2    Teeuwen, G.3
  • 27
    • 68749117490 scopus 로고    scopus 로고
    • EvoArch: An evolutionary algorithm for architectural layout design
    • Wong, S.Y. and Chan, K. 2009. EvoArch: An evolutionary algorithm for architectural layout design, Computer Aided Design 41: 649-667
    • (2009) Computer Aided Design , vol.41 , pp. 649-667
    • Wong, S.Y.1    Chan, K.2
  • 29
    • 84879192015 scopus 로고    scopus 로고
    • Multiple-attribute decision making for an energy efficient facility layout design
    • Yang L. and Deuse, J. 2012. Multiple-attribute Decision Making for an Energy Efficient Facility Layout Design, Procedia CIRP 3: 149-154
    • (2012) Procedia CIRP , vol.3 , pp. 149-154
    • Yang, L.1    Deuse, J.2
  • 30
    • 33744513353 scopus 로고    scopus 로고
    • Architectural layout optimization using annealed neural network
    • Yeh, I.C. 2006. Architectural layout optimization using annealed neural network, Automation in Construction 15(4): 531-539
    • (2006) Automation in Construction , vol.15 , Issue.4 , pp. 531-539
    • Yeh, I.C.1
  • 31
    • 67649101317 scopus 로고    scopus 로고
    • Optimizing building form for energy performance based on hierarchical geometry relation
    • Yi, Y. K. and Malkawi, A. 2009. Optimizing building form for energy performance based on hierarchical geometry relation. Automation in Construction 18: 825-833.
    • (2009) Automation in Construction , vol.18 , pp. 825-833
    • Yi, Y.K.1    Malkawi, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.