Open Access
Int. J. Simul. Multisci. Des. Optim.
Volume 5, 2014
Article Number A01
Number of page(s) 15
Published online 04 February 2014
  1. Ballast DK. 2002. Interior construction & detailing for designers and architects. Professional Publications: Belmont, CA. [Google Scholar]
  2. Pile JF. 2007. Interior design, 4th edn. Prentice Hall, Upper Saddle River, NJ. [Google Scholar]
  3. Piotrowski CM. 2002. Professional practice for interior designers, 3rd edn. John Wiley & Sons: New York. [Google Scholar]
  4. Vosinakis S, Azariadis P, Sapidis N, Kyratzi S. 2007. A virtual reality environment supporting the design & evaluation of interior spaces, 4th INTUITION Conf. on Virtual Reality & Virtual Environments, Athens. [Google Scholar]
  5. Sims K. 1991. Artificial evolution for computer graphics. Computer Graphics, 24(4), 319–328. [CrossRef] [Google Scholar]
  6. Dawkins R. 1986. The blind watchmaker. Longman: Essex. [Google Scholar]
  7. Graf J, Banzhaf W. 1995. Interactive evolution for simulated natural evolution, artificial evolution, in European Conf. (AE’95) Selected Papers, Alliot JM, Editor. Springer-Verlag: Berlin, Germany. p. 259–272. [Google Scholar]
  8. Todd S, Latham W. 1992. Artificial life or surreal art? Proceedings of 1st European Conf. on Artificial Life. MIT Press, Cambridge, MA. p. 504–513. [Google Scholar]
  9. Chen W, Shi YQ, Xuan G, Su W. 2008. Computer graphics identification using genetic algorithm. IEEE International Conference on Pattern Recognition (ICPR08). Tampa, Florida, USA. [Google Scholar]
  10. Yu TT, Yang M, Chen CS. 2005. Automatic feature extraction & stereo image processing with genetic algorithms for lidar data. Proceeding of Computer Graphics, Imaging & Vision: New Trends, 307–309. [Google Scholar]
  11. Nishino H, Sueyoshi T, Kagawa T, Utsumiya K. 2007. An interactive graphics rendering optimizer based on immune algorithm. Lecture Notes in Computer Science, Applications of Evolutionary Computing, Springer, 4448, 459–469. [CrossRef] [Google Scholar]
  12. Nishino H, Sueyoshi T, Kagawa T, Utsumiya K. 2008. An interactive 3D graphics modeler based on simulated human immune system. Journal of Multimedia, 3(3), 51–60. [CrossRef] [Google Scholar]
  13. Stewart TJ, Janssen R, van Herwijnen M. 2004. A genetic algorithm approach to multiobjective l & use planning. Computers & Operations Research, 31(14), 2293–2313. [CrossRef] [MathSciNet] [Google Scholar]
  14. Balling R, Powell B, Saito M. 2004. Generating future l&-use & transportation plans for high-growth cities using a genetic algorithm. Computer-Aided Civil & Infrastructure Engineering, 19(3), 213–222. [CrossRef] [Google Scholar]
  15. Chandramouli M, Huang B, Xue L. 2009. Spatial change optimization: integrating GA with visualization for 3D scenario generation. Journal of the American Society of Photogrammetry & Remote Sensing, 75(8), 1015–1023. [CrossRef] [Google Scholar]
  16. Karlen M. 1993. Space planning basics. Van Nostr & Reinhold Publishers: New York. [Google Scholar]
  17. F. Ching. 2009. Architectural graphics, 5th edn. Wiley. [Google Scholar]
  18. Bertoline GR, Wiebe EN, Hartman NW, Ross WA. 2009. Technical graphics communication, 6th edn. McGraw-Hill: Boston, MA. [Google Scholar]
  19. Kopec D. 2006. Environmental psychology for design. Fairchild Publications, NY. [Google Scholar]
  20. Kilmer R, Kilmer WO. 1992. Designing interiors. Thomson Learning, CT. [Google Scholar]
  21. Panero J, Zelnik M. 1979. Human dimensions & interior space. Whitney Library of Design/Watson Guptill Publications: New York. [Google Scholar]
  22. Rengel R. 2003. Shaping interior space. Fairchild Publications: New York. [Google Scholar]
  23. Kubba S. 2003. Space planning for commercial & residential interiors. McGraw-Hill, New York. [Google Scholar]
  24. Lok L. 2004. A critical survey of software packages for use by interior designers. MSc Thesis, Department of Computer Science, University of Wales. [Google Scholar]
  25. Maher ML, Bilda Z, Gül LF. 2006. Impact of collaborative virtual environments on design behavior, in Design Computing & Cognition ‘06. Gero JS, Editor. Dordrecht, The Netherlands: Springer, p. 305–321. [CrossRef] [Google Scholar]
  26. Whyte J, Bouchlaghem N, Thorpe A, McCaffer R. 2000. From CAD to virtual reality: modeling approaches, data exchange, & interactive 3d building design tools. Automation in Construction, 10, 43–55. [CrossRef] [Google Scholar]
  27. Balling RJ, Taber JT, Brown MR, Day K. 1999. Multiobjective urban planning using genetic algorithm. Journal of Urban Planning & Development, 125, 86–99. [CrossRef] [Google Scholar]
  28. Chandramouli M, Bertoline R, Connolly P. 2009. Generating alternative engineering design by integrating desktop VR with genetic algorithms. Engineering Design Graphics Journal, 73(3), 1–12. [Google Scholar]
  29. Seixas J, Nunes JP, Louren P, Lobo F, Condado P. 2005. GeneticLand: modeling land use change using evolutionary algorithms. Proceedings of the 45th Congress of the European Regional Science Association, Land Use and Water Management in a Sustainable Network Society, Vrije Universiteit: Amsterdam, p. 23–27. [Google Scholar]
  30. Connolly PE. 2005. Virtual reality and immersive technology in education. International Journal of Information & Communication Technology Education, 1(1), 12–18. [CrossRef] [Google Scholar]
  31. Reas C, Fry B. 2003. Processing: a learning environment for creating interactive web graphics, in Proceedings of the SIGGRAPH 2003 Conf. on Web Graphics, SESSION: Java applications. San Diego: ACM. [Google Scholar]
  32. Ames AL, Nadeau DR, Moreland JL. 1997. VRML 2.0 sourcebook , 2nd edn. John Wiley & Sons: NY. [Google Scholar]
  33. van Kemenade C, Kok J, Eiben A. 1995. Raising GA performance by simultaneous tuning of selective pressure & recombination disruptiveness, in Proceedings of the 2nd IEEE Conference on Evolutionary Computation. IEEE Press, p. 346–651. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.