Optimization of user accessibility using genetic algoritm: aDA
Inhaltsverzeichnis
Reference
Derya Gulec Ozer, Sinan Mert Sener, Cagri Zaman: Optimization of user accessibility using genetic algoritm: aDA. In: Generative Art 2012.
DOI
Abstract
The aim of this study is the optimization of user accessibility in architectural design field using genetic algorithm. In order to achieve this scope, a methodology called aDA (Algoritmic Distance Based Accessibility) is developed. This model will be introduced by analyzing movements of different user types depending on spatial and user accessibility. Depending on movement analysis of different user types, a relationship matrix will be created by optimization of movements by means of travel cost in meters which is the basic data source for the design model to be developed. In this methodology the process takes place in four steps: (1) Obtaining user data, (2) Obtaining spatial data, (3) Coding and optimization, and (4) Evaluation. The developed plug-in run as a script on Rhino Grasshopper, evaluate fitness values of given plan scheme and generate optimum plan scheme based on user data. Concerning the results, the advantages of the design data gathered by the optimization of user routes are accentuated. For future suggestions, it is indicated that within the computational design paradigm, the human factor should be taken into consideration along with the movement models, and its contribution to design knowledge. Besides it is emphasized that the movement optimization model could be efficient to use for the design of complex buildings such as hospitals since the method will be further enriched by testing the model on such building typologies.
Extended Abstract
Bibtex
Used References
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