Performance-based Pareto optimal design

Conference paper (2008)
Faculty
Architecture and The Built Environment (Architecture and the Built Environment) (TU Delft)
Copyright: © 2008 TMCE
Soft computing Evolutionary computation Neural fuzzy system Pareto optimal design Knowledgemodel Intelligent computing
More Info
expand_more

Published Date

21-04-2008

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Source:

Proceedings of TMCE 2008 Symposium, Izmir, Turkey, 21-25 April 2008

ISBN:

978-90-5155-044-3

Faculty

Architecture and The Built Environment

Abstract

A novel approach for performance-based design is presented, where Pareto optimality is pursued. Design requirements may contain linguistic information, which is difficult to bring into computation or make consistent their impartial estimations from case to case. Fuzzy logic and soft computing are the essential means to deal with this matter. In this work an innovative neural fuzzy system is considered for soft computing in design. The system has a neural network structure with the properties of neural tree. The nonlinear processing units at the nodes are selected as Gaussians, so that the system can be interpreted in fuzzy terms. Such a knowledge model can be subject to employment in many diverse areas. In this work it is used for a soft computing application in architectural design, where a number of linguistic information is used in the specification of requirements. The quantifications of qualitative descriptions in design are integrated into the system and fuzzy computations are carried out in a neural network framework. The application concerns a layout of multiple housing units, involving multiple, conflicting requirements, so that Pareto optimality is aimed for. This is a much desirable aid in a design process as it provides guidance for design enhancement, where the design quality underlies the guaranteed designperformance as to the specifications.