Downloads provided by UsageCounts
{"references": ["N. B. Hutcheon, CBD-48 Requirements for exterior walls. Canadian Building Digest, Canada Research Council, 1963.", "R. C. Loonen, M. Tr\u010dka, D. C\u00f3stola, and J. L. M. Hensen, Climate adaptive building shells: State-of-the-art and future challenges. Renewable and Sustainable Energy Reviews, 2013, 25, 483-493.", "E. Fricke and A. P. Schulz, Design for changeability (DfC): Principles to enable changes in systems throughout their entire lifecycle. Systems Engineering, 2005, 8.4.", "J. Moloney, Designing kinetics for architectural facades: state change. Taylor & Francis, 2011.", "M. Fox and M. Kemp, Interactive architecture (Vol. 1). Princeton: Princeton Architectural Press, 2009.", "M. Sharaidin, Kinetic facades: towards design for environmental performance. 2014.", "W. Ren and R.W. Beard, Distributed consensus in multi-vehicle cooperative control. London: springer, 2008.", "https://biomimicry.org/what-is-biomimicry/What Is Biomimicry? \u2013 Biomimicry Institute, 2017-09-29", "J. Knippers and T. Speck, Design and construction principles in nature and architecture. Bioinspiration & biomimetics, 2012, 7.1: 015002.\n[10]\tY.J. Grobman and T. P. Yekutiel, Autonomous Movement of Kinetic Cladding Components in Building Facades. In: ICoRD'13. Springer, India, 2013. p. 1051-1061.\n[11]\tG. Beni and J.WANG, Swarm intelligence in cellular robotic systems. In: Robots and Biological Systems: Towards a New Bionics? Springer, Berlin, Heidelberg, 1993. p. 703-712.\n[12]\tC. W. Reynolds, Flocks, herds and schools: A distributed behavioral model. ACM SIGGRAPH computer graphics, 1987, 21.4: 25-34.\n[13]\tJ. Kennedy and R. Eberhart, \"Particle Swarm Optimization\". Proceedings of IEEE International Conference on Neural Networks. IV. pp. 1942\u20131948. doi:10.1109/ICNN.1995.488968.), 1995.\n[14]\tS. Allen, From object to field+ Architecture and urbanism. Architectural design, 1997, 127: 24-31.\n[15]\tR. Deutsch, 10 Factors Leading Toward Convergence. Convergence: The Redesign of Design, 2017, 20-39."]}
A kinetic façade responds to user requirements and environmental conditions. In designing a kinetic façade, kinetic patterns play a key role in determining its performance. This paper proposes a biomimetic method for the multi-objective optimization for kinetic façade design. The autonomous decentralized control system is combined with flocking algorithm. The flocking agents are autonomously reacting to sensor values and bring about kinetic patterns changing over time. A series of experiments were conducted to verify the potential and limitations of the flocking based decentralized control. As a result, it could show the highest performance balancing multiple objectives such as solar radiation and openness among the comparison group.
multi-objective optimization., Biomimicry, autonomous decentralized control, flocking algorithm
multi-objective optimization., Biomimicry, autonomous decentralized control, flocking algorithm
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 2 | |
| downloads | 14 |

Views provided by UsageCounts
Downloads provided by UsageCounts