Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Wang, L, Messner, JI and Leicht, R (2007) Assessement of 4D Modeling For Schedule Visualization in Construction Engineering Education , Proceedings of the 24th CIB W78 Conference, Bridging ITC Knowledge to work, pp. 737-742

	Wang, L, Shen, W, Xie, H, Neelamkavil, J and Pardasani, A (2002) Collaborative conceptual design - state of the art and future trends , Computer-Aided Design, 34(13), pp. 981-996

	Wang, L, Tan, Z and Ji, G (2016) TOWARD THE WIND-RELATED BUILDING PERFORMATIVE DESIGN A wind-related building performance optimization design system integrating Fluent and Rhinoceros based on iSIGHT , Proceedings of CAADRIA 2016, 1, pp. 109-218,11

	Wang, L (1999) Preservation and Revitalization for rural architectures in traditional villages: Revelation from rural revitalization planning in Germany (in Chinese) , Architectural Journal, 11, pp. 16-21

	Wang, L (2000) The future image for villages: experiences from traditional villages and contemporary settlement planning (in Chinese) , Architectural Journal, 11, pp. 16-22

	Wang, L., & Witte, M. J. (2022) Integrating Building Energy Simulation with a Machine Learning Algorithm for Evaluating Indoor Living Walls Impacts on Cooling Energy Use in Commercial Buildings , Elsevier: Energy and Buildings,272, 112322. Available at: https://doi.org/1.116/j.enbuild.222.112322.

	Wang, L., Chen, K. W., Janssen, P. & Ji, G. (2020) Enabling optimisation-based exploration for building massing design: A coding-free evolutionary building massing design toolkit in rhino-grasshopper , RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2020 (pp. 255–264)

	Wang, L., Chen, K. W., Janssen, P. & Ji, G. (2020) Algorithmic generation of architectural massing models for building design optimisation: Parametric modelling using subtractive and additive form generation principles , RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2020 (pp. 385–394)

	Wang, L., Chen, K. W., Janssen, P. and Ji, G. (2020) Enabling optimisation-based exploration for building massing design: A coding-free evolutionary building massing design toolkit in rhino-grasshopper , RE: Anthropocene, Design in the Age of Humans, Proceedings of the 25th International Conference on Computer-Aided Architectural Design Research in Asia CAADRIA 2020, Vol. 1, pp. 255-264 https://doi.org/10.52842/conf.caadria.2020.1.255

	Wang, L., Chen, K. W., Janssen, P., & Ji, G. (2020) Enabling Optimisation-based Exploration for Building Massing Design - A Coding-free Evolutionary Building Massing Design Toolkit in Rhino-Grasshopper , RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2020, 1, 255-264. https://doi.org/10.52842/conf.caadria.2020.1.255

	Wang, L., Chen, K. W., Janssen, P., & Ji, G. (2020a) Algorithmic generation of architectural Massing Models for building design optimisation - Parametric Modelling Using Subtractive and Additive Form Generation Principles , RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2020, 1, 385-394. https://doi.org/10.52842/conf.caadria.2020.1.385

	Wang, L., Chen, K. W., Janssen, P., & Ji, G. (2020b) Algorithmic generation of architectural massing models for building design optimisation: Parametric modelling using subtractive and additive form generation principles , RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2020, 1, 385-394

	Wang, L., Chen, K. W., Janssen, P., & Ji, G. (2020b) Enabling Optimisation-based Exploration for Building Massing Design - A Coding-free Evolutionary Building Massing Design Toolkit in Rhino-Grasshopper , RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2020, 1, 255-264. https://doi.org/10.52842/conf.caadria.2020.1.255

	Wang, L., Fang, K., Xie, H., & Xiong, W. (2017) Traditional Chinese Village Digital Museum , Planners, 33(02), 48-53

	Wang, L., Han, X., He, J., & Jung, T. (2022) Measuring residents perceptions of city streets to inform better street planning through deep learning and space syntax , ISPRS Journal of Photogrammetry and Remote Sensing, 190, 215-230. https://doi.org/10.1016/j.isprsjprs.2022.06.011

	Wang, L., Huang, Q., Zhang, Q., Xu, H. and Yuen, R. K. (2017) Role of atrium geometry in building energy consumption: The case of a fully air-conditioned enclosed atrium in cold climates, China. , Energy and Buildings, 151, pp. 228-241

	Wang, L., Janssen, P. & Ji, G. (2018) Efficiency versus effectiveness: A study on constraint handling for architectural evolutionary design , Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference (pp. 163–172)

	Wang, L., Janssen, P. & Ji, G. (2018a) Utility of Evolutionary Design in Architectural Form Finding: An Investigation into Constraint Handling Strategies , John S. Gero (Ed.), Design Computing and Cognition ’18 (pp. 177–194). Springer. https://doi.org/10.1007/978-3-030-05363-5_10

	Wang, L., Janssen, P. & Ji, G. (2019) Progressive modelling for parametric design optimization , T. F. M. Haeusler, M. A. Schnabel (Ed.), Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research Asia, CAADRIA 2019 (pp. 383–392)

	Wang, L., Janssen, P. & Ji, G. (2020) SSIEA: a hybrid evolutionary algorithm for supporting conceptual architectural design , Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 34(4), 458–476. https://doi.org/10.1017/S0890060420000281

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