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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100%; open Ahn, KU, Kim, YJ, Park, CS, Kim, I and Lee, K (2014) Find in CUMINCAD BIM interface for full vs. semi-automated building energy simulation , Energy and Buildings, 68, pp. 671-678

100%; open Deb, K, Pratap, A, Agarwal, S and Meyarivan, T (2002) Find in CUMINCAD A fast and elitist multiobjective genetic algorithm: NSGA-II , Evolutionary Computation, IEEE Transactions on, 6(2), pp. 182-197

100%; open Durillo, JJ and Nebro, AJ (2011) Find in CUMINCAD jMetal: A Java framework for multi-objective optimization , Advances in Engineering Software, 42(10), pp. 760-771

100%; open Eastman, C, Teicholz, P, Sacks, R and Liston, K (2011) Find in CUMINCAD BIM handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors , John Wiley & Sons

100%; open Emmerich, MT, Hopfe, C, Marijt, R, Hensen, J, Struck, C and Stoelinga, P (2008) Find in CUMINCAD Evaluating optimization methodologies for future integration in building performance tools , Proceedings of the 8th Int. Conf. on Adaptive Computing in Design and Manufacture (ACDM), p. 7

100%; open Evins, R (2013) Find in CUMINCAD A review of computational optimisation methods applied to sustainable building design , Renewable and Sustainable Energy Reviews, 22, pp. 230-245

100%; open Fischer, M (2006) Find in CUMINCAD Formalizing construction knowledge for concurrent performance-based design , Intelligent Computing in Engineering and Architecture, 4200, pp. 186-205

100%; open Flager, F, Basbagill, J, Lepech, M and Fischer, M (2012) Find in CUMINCAD Multi-objective building envelope optimization for life-cycle cost and global warming potential , Proceedings of ECPPM, pp. 193-200

100%; open Hoes, P, Trcka, M, Hensen, J and Bonnema, B (2011) Find in CUMINCAD Optimizing building designs using a robustness indicator with respect to user behavior , Building Simulation Proceedings of the 12th Conference of the International Building Performance Simulation Association, pp. 1710-1717

100%; open Kursawe, F (1991) Find in CUMINCAD A variant of evolution strategies for vector optimization , Kursawe, F. (1991). A variant of evolution strategies for vector optimization. In Parallel Problem Solving from Nature, 496, pp. 193-197

100%; open Lin, SHE and Gerber, DJ (2014) Find in CUMINCAD Designing-in performance: A framework for evolutionary energy performance feedback in early stage design , Automation in Construction, 38, pp. 59-73

100%; open RahmaniAsl, M, Bergin, M, Menter, A and Yan, W (2014) Find in CUMINCAD BIM-based Parametric Building Energy Performance Multi-Objective Optimization , The 32nd International Conference on Education and Research in Computer Aided Architectural Design in Europe, Newcastle upon Tyne, UK, p. 455-464

100%; open RahmaniAsl, M (2015) Find in CUMINCAD A Building Information Model (BIM) Based Framework for Performance Optimization , Ph.D. Thesis, Texas A&M University

100%; open Schaffer, D (1985) Find in CUMINCAD Multiple objective optimization with vector evaluated genetic algorithms. , Proceedings of the 1st International Conference on Genetic Algorithms, Pittsburgh, PA, USA, pp. 93-100

100%; open StevanoviŠ, S (2013) Find in CUMINCAD Optimization of passive solar design strategies: A review , Renewable &Sustainable Energy Reviews, 25, pp. 177-196

100%; open Veldhuizen, D (1999) Find in CUMINCAD Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations , Ph.D. Thesis, Air Force Institute of Technology Air University

100%; open Wang, W, Zmeureanua, R and Rivard, H (2005) Find in CUMINCAD Applying multi-objective genetic algorithmsin green building design optimization , Building and Environment, 40, pp. 1512-1525

100%; open Welle, B, Haymaker, J and Rogers, Z (2011) Find in CUMINCAD ThermalOpt: A methodology for automated BIM-based multidisciplinary thermal simulation for use in optimization environments , Building Simulation, 4, pp. 293-313

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