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

id cf2011_p092
authors Bittermann, Michael S.
year 2011
title Sustainable Conceptual Building Design using a Cognitive System
source Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 297-314.
summary A cognitive system for conceptual building design is presented. It is based on an adaptive multi-objective evolutionary algorithm. The adaptive approach is novel and, in contrast with conventional multi-objective evolutionary algorithms, it explores the solution space effectively, while maintaining diversity among the solutions. The suitability of the approach for conceptual design of a multi-purpose building complex is demonstrated in an application. In the application, the goal of maximizing sustainability is treated by means of a model, which is established using neural computations. The approach is found to be suitable for treating the soft nature of the sustainability concept. Also, the capability of the approach to compare the performance of alternative solutions from an unbiased viewpoint, i.e. without committing a-priori to a relative importance among the performance aspects, is demonstrated.
keywords computational design, sustainable design, adaptive evolutionary algorithm, Pareto optimality, neural computation
series CAAD Futures
email m.s.bittermann@tudelft.nl
full text file.pdf (7,565,052 bytes)
references Content-type: text/plain
details citation check to select
100%; open Bittermann, M.S. & Ciftcioglu, O. (2009) Find in CUMINCAD A cognitive system based on fuzzy information processing and multi-objective evolutionary algorithm , IEEE Conference on Evolutionary Computation - CEC 2009. Trondheim, Norway, IEEE
100%; open Branke, J., Kaussler, T. & Schmeck, H. (2000) Find in CUMINCAD Guiding multi-objective evolutionary algorithms towards interesting regions , Technical Report TR No. 399, AIFB University of Karlsruhe, Germany
100%; open Brans, J.-P. & Vincke, P. (1985) Find in CUMINCAD A preference ranking organisation method: The PROMETHEE method for MCDM , Management Science 31(6) : 647-656
100%; open Ciftcioglu, ., Bittermann, M.S. & Sariyildiz, I.S. (2007) Find in CUMINCAD A neural fuzzy system for soft computing , NAFIPS 2007, San Diego, USA, IEEE
100%; open Deb, K., Sundar, J., Bhaskara, U, et al. (2006) Find in CUMINCAD Reference point based multi-objective optimization using evolutionary algorithm , Int. J. Comp. Intelligence Research 2(3) : 273-286
100%; open Deb, K. (2001) Find in CUMINCAD Multiobjective Optimization using Evolutionary Algorithms , John Wiley & Sons
100%; open Engelbrecht, A.P. (2005) Find in CUMINCAD Computational Swarm Intelligence , Chichester, GB, Wiley
100%; open Hopper, E. & Turton, B.C.H. (2001) Find in CUMINCAD An empirical investigation of metaheuristic and heuristic algorithms for a 2D packing problem , Eur. J. Oper. Res. 128 : 34-57
100%; open Hunt, K.J., Haas, R. & Murray-Smith, R. (1996) Find in CUMINCAD Extending the functional equivalence of radial basis function networks and fuzzy inference systems , IEEE Trans. Neural Networks 7(3)
100%; open Takagi, T. & Sugeno, M. (1985) Find in CUMINCAD Fuzzy identification of systems and its applications to modeling and control , IEEE Transactions on Systems, Man, and Cybernetics 15 : 116-132
100%; open Zitzler, E. & Thiele, L. (1999) Find in CUMINCAD Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach , IEEE Trans. Evolutionary Computation 3(4) : 257-271

last changed 2012/02/11 18:21
HOMELOGIN (you are user _anon_274519 from group guest) Works Powered by SciX Open Publishing Services 1.002