Design explorations of performance driven geometry in architectural design using parametric modeling and genetic algorithms
TL;DR: The benefits derived by combining parametric modeling and genetic algorithms to achieve a performance oriented process in design, with specific focus on architectural design are discussed, and ParaGen is presented as a tool to support the exploration of the parametric design alternatives.
About: This article is published in Advanced Engineering Informatics.The article was published on 2011-10-01. It has received 308 citations till now. The article focuses on the topics: Generative Design & Integrated design.
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TL;DR: A comprehensive review of all significant research applying computational optimisation to sustainable building design problems is presented in this article, where a summary of common heuristic optimisation algorithms is given, covering direct search, evolutionary methods and other bio-inspired algorithms.
Abstract: This paper presents a comprehensive review of all significant research applying computational optimisation to sustainable building design problems. A summary of common heuristic optimisation algorithms is given, covering direct search, evolutionary methods and other bio-inspired algorithms. The main summary table covers 74 works that focus on the application of these methods to different fields of sustainable building design. Key fields are reviewed in detail: envelope design, including constructions and form; configuration and control of building systems; renewable energy generation; and holistic optimisations of several areas simultaneously, with particular focus on residential and retrofit. Improvements to the way optimisation is applied are also covered, including platforms and frameworks, algorithmic comparisons and developments, use of meta-models and incorporation of uncertainty. Trends, including the rise of multi-objective optimisation, are analysed graphically. Likely future developments are discussed.
582 citations
TL;DR: This paper is a review of the methods and tools used for the building design optimization in an effort to explore the reasoning behind their selection, to present their abilities and performance issues and to identify the key characteristics of their future versions.
Abstract: Building design is quite a complicated task with the design team trying to counterbalance various antagonistic parameters, which in turn are subject to various constraints. Due to this complexity, performance simulation tools are employed and as a consequence, optimization methods have just started being used, mainly as a decision aid. There are examples, amongst the architectural community, where probabilistic evolutionary algorithms or other derivative-free methods have been used with various decision variables and objective goals. This paper is a review of the methods and tools used for the building design optimization in an effort to explore the reasoning behind their selection, to present their abilities and performance issues and to identify the key characteristics of their future versions.
412 citations
TL;DR: In this paper, a simulation-based optimization method was used to find the cost-optimal and nZEB energy performance levels for a study case of a single-family house in Finland, where different options of building envelope parameters, heat-recovery units, and heating/cooling systems as well as various sizes of thermal and photovoltaic solar systems were explored as design options via three-stage optimization.
373 citations
TL;DR: The findings indicate a breakthrough in using evolutionary algorithms in solving highly constrained envelope, HVAC and renewable optimization problems and some future directions anticipated or needed for improvement of current tools are presented.
360 citations
Cites methods from "Design explorations of performance ..."
...[41] Turrin M, Buelow P, Stouffs R, (2011) Design explorations of performance driven geometry in architectural design using parametric modeling and genetic algorithms....
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...A list follows disaggregated by the objective of the optimisation: Building layout and form [37-41]....
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...The GAs with the Pareto concept are used widely in energy and buildings studies [7, 16, 40, 41, 47, 48, 92, 94,102,110,134,135,136]....
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References
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Book•
01 Sep 1988
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Abstract: From the Publisher:
This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields
Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs No prior knowledge of GAs or genetics is assumed, and only a minimum of computer programming and mathematics background is required
52,797 citations
Book•
01 Jan 1962
TL;DR: The Structure of Scientific Revolutions as discussed by the authors is a seminal work in the history of science and philosophy of science, and it has been widely cited as a major source of inspiration for the present generation of scientists.
Abstract: A good book may have the power to change the way we see the world, but a great book actually becomes part of our daily consciousness, pervading our thinking to the point that we take it for granted, and we forget how provocative and challenging its ideas once were-and still are. "The Structure of Scientific Revolutions" is that kind of book. When it was first published in 1962, it was a landmark event in the history and philosophy of science. And fifty years later, it still has many lessons to teach. With "The Structure of Scientific Revolutions", Kuhn challenged long-standing linear notions of scientific progress, arguing that transformative ideas don't arise from the day-to-day, gradual process of experimentation and data accumulation, but that revolutions in science, those breakthrough moments that disrupt accepted thinking and offer unanticipated ideas, occur outside of "normal science," as he called it. Though Kuhn was writing when physics ruled the sciences, his ideas on how scientific revolutions bring order to the anomalies that amass over time in research experiments are still instructive in our biotech age. This new edition of Kuhn's essential work in the history of science includes an insightful introductory essay by Ian Hacking that clarifies terms popularized by Kuhn, including paradigm and incommensurability, and applies Kuhn's ideas to the science of today. Usefully keyed to the separate sections of the book, Hacking's essay provides important background information as well as a contemporary context. Newly designed, with an expanded index, this edition will be eagerly welcomed by the next generation of readers seeking to understand the history of our perspectives on science.
36,808 citations
"Design explorations of performance ..." refers background in this paper
...Despite the large debate on the existence of a scientific nature of design [39,49], systems of logically connected knowledge and categorizations of design problems [42] have been largely developed in design methods [12,24,28,72,75]....
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34,393 citations
TL;DR: The search for scientific bases for confronting problems of social policy is bound to fail, becuase of the nature of these problems as discussed by the authors, whereas science has developed to deal with tame problems.
Abstract: The search for scientific bases for confronting problems of social policy is bound to fail, becuase of the nature of these problems. They are “wicked” problems, whereas science has developed to deal with “tame” problems. Policy problems cannot be definitively described. Moreover, in a pluralistic society there is nothing like the undisputable public good; there is no objective definition of equity; policies that respond to social problems cannot be meaningfully correct or false; and it makes no sense to talk about “optimal solutions” to social problems unless severe qualifications are imposed first. Even worse, there are no “solutions” in the sense of definitive and objective answers.
13,262 citations
"Design explorations of performance ..." refers methods in this paper
...Among the argumentative process models, Rittel and Webber [81] developed the Issue-Based Information System method for organizing and documenting design discussions in a quasi-hierarchical system of question answering....
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TL;DR: The Analytic Hierarchy Process (AHP) as discussed by the authors is a multicriteria decision-making approach in which factors are arranged in a hierarchic structure, and the principles and philosophy of the theory are summarized giving general background information of the type of measurement utilized, its properties and applications.
7,202 citations
"Design explorations of performance ..." refers background in this paper
...Other examples based on analytic hierarchy processes (Okudan and Tauhid, 2008) are found in Saaty [84], Marsh et al. [59], Mullens et al. [68], King and Sivaloganathan [46]....
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...Other examples based on analytic hierarchy processes (Okudan and Tauhid, 2008) are found in Saaty [84], Marsh et al....
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