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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	J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov (2017) Proximal policy optimization algorithms , arXiv:1707.06347

	Schulman, J, Wolski, F, Dhariwal, P, Radford, A and Kilmov, O (2017) Proximal Policy Optimization Algorithms , arXiv:1707.06347v2

	Schulman, J, Wolski, F, Dhariwal, P, Radford, A and Klimov, O (2017) Proximal policy optimization algorithms , arXiv preprint arXiv:1707.06347, 1707, pp. 1-12

	Schulman, J., Dhariwal, F., Radford, P. and Klimov, O. (2017) Proximal policy optimization algorithms , arXiv preprint arXiv:1707.06347.

	Schulman, John, et al (2017) Proximal Policy Optimization Algorithms , arXiv preprint. arXiv:1707.06347

	Schulman, John, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov (2017) Proximal Policy Optimization Algorithms , ArXiv:1707.06347 [Cs], August. http://arxiv.org/abs/1707.06347

	Schulman, John, Wolski, Filip, Dhariwal, Prafulla, Radford, Alec and Klimov, Oleg (2017) Proximal policy optimization algorithms , arXiv preprint arXiv:1707.06347, ., p. .

	Azzouz, R, Bechikh, S and Said, LB (2017) Dynamic multi-objective optimization using evolutionary algorithms: a survey , Datta, R and Gupta, A (eds), Recent Advances in Evolutionary Multi-objective Optimization, Springer, pp. 31-70

	Dai, H, Khalil, EB, Zhang, Y, Dilkina, B and Song, L (2017) Learning combinatorial optimization algorithms over graphs , arXiv preprint arXiv:1704.01665, 1704, pp. 1-24

	Fang, Y (2017) Optimization of Daylighting and Energy Performance Using Parametric Design, Simulation Modeling, and Genetic Algorithms , Ph.D. Thesis, North Carolina State University

	Fang, Y (2017) Optimization of Daylighting and Energy Performance Using Parametric Design, Simulation Modeling, and Genetic Algorithms , Ph.D. Thesis, North Carolina State University

	Poole DJ, Allen CB and Rendall TCS (2017) A generic framework for handling constraints with agent-based optimization algorithms and application to aerodynamic design , Optimization Eng 2017; 18: 659–691.

	Wortmann, T, Waibel, C, Nannicini, G, Evins, R, Schroepfer, T and Carmeliet, J (2017) Are Genetic Algorithms Really the Best Choice for Building Energy Optimization? , Symposium on Simulation for Architecture and Urban Design (SimAUD)

	Wortmann, T, Waibel, C, Nannicini, G, Evins, R, Schroepfer, T and Carmeliet, J (2017) Are Genetic Algorithms Really the Best Choice for Building Energy Optimization? , Symposium on Simulation for Architecture and Urban Design, p. 51-58

	Wortmann, T, Waibel, C, Nannicini, G, Evins, R, Schroepfer, T and Carmeliet, J (2017) Are genetic algorithms really the best choice for building energy optimization? , Proceedings of the Symposium on Simulation for Architecture and Urban Design, pp. 1-8

	Wortmann, T, Waibel, C, Nannicini, G, Evins, R, Schroepfer, T and Carmeliet, J (2017) Are Genetic Algorithms really the best choice for Building Energy Optimization? , Proceedings of the Symposium on Simulation for Architecture & Urban Design, Toronto, CA, pp. 51-58

	Wortmann, T., Waibel, C., Nannicini, G., Evins, R., Schroepfer, T. and Carmeliet, J. (2017) Are Genetic Algorithms Really the Best Choice for Building Energy Optimization? , SimAUD 2017, Toronto, CA, p. 51-58

	Aage, N., Andreassen, E., Lazarov B. S. & Sigmund, O. (2017) Giga-voxel computational morphogenesis for structural design , Nature, 550, 84-86. https://doi.org/10.1038/nature23911Bai, J. T., & Zuo, W. J. (2020). Hollow structural design in topology optimization via moving morphable component method. Structural and Multidisciplinary Optimization, 6, 187-205

	Akinsola, J. E. (2017) Supervised Machine Learning Algorithms: Classification and Comparison , International Journal of Computer Trends and Technology (IJCTT)

	Al-Qattan, E, W. Yan, and P. Galanter. (2017) Tangible Computing for Establishing Generative Algorithms; A Case Study with Cellular Automata , Proceedings of the 35th eCAADe Conference, Volume 1, editedy by A. Fioravanti, S. Cursi, S. Elahmar, S. Gargaro, G. Loffreda, G. Novembri, and A. Trento, 347-354

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