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

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_id ddss2008-35
id ddss2008-35
authors Neema, M.N. and A. Ohgai
year 2008
title A GA-based Multi-Objective Optimization Model for Location Planning of Urban Parks and Open Spaces A Case Study on Dhaka City
source H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD
summary In this paper, we present a new multi-objective location model for urban parks and open spaces (POSs) planning. We developed a Genetic Algorithm (GA) based multi-objective optimization model (GAMOOM) to derive optimum locations of POSs by considering four incommensurable objectives with the provision of POSs near: 1) densely populated areas, 2) air polluted areas, 3) noisy areas, and 4) areas without open spaces. The success of the model is presented through its application as a case study on Dhaka City. Obtained results indicate that the model can successfully provide optimum location of required POSs. The findings from this study also signify that optimum location of POSs obtained by utilizing only the second objective is substantially different than that of others. Moreover, there is also difference in optimum location of POSs by taking into account only the third objective when compared with others. Therefore, considering single objective cannot give optimum results for good POSs planning. So, it is verified that POSs should be planned by optimizing multiple objectives instead of single objective. The outcome of this multi-objective GAMOOM model does have an implication on how POSs should be designed and managed by the planning authority for not only sustainable environment but also better quality of life in a city.
keywords Genetic Algorithm (GA), Multi-Objective Optimization, Parks and Open Space (POS)
series DDSS
last changed 2008/09/01 15:06

_id caadria2013_205
id caadria2013_205
authors Shuvo, Faysal Kabir and Patrick Janssen
year 2013
title Modelling Informal Settlements Using a Hybrid Automata Approach
source Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 591-600
wos WOS:000351496100058
summary Automata based modeling of urban environments focuseson the bottom up emergence of particular phenomena through interactions at the disaggregated level. Two popular approachesare Cellular Automata (CA) for modelling fixed automata and Agent Based Modelling (ABM) for modelling mobile automata.However, certain urban phenomena cannot easily be modelled by either CA or ABM alone. This research focuses on one suchphenomenon, referred to as leap-frog development, which is a discontinuous and dispersed type of urban growth. A hybridautomata model is proposed for modelling such phenomena that combines both CA and ABM into a single integrated model. Theproposed model is demonstrated by applying it to a case-study in Dhaka city for simulating the growth of informalsettlements associated with the readymade garment industry.  
keywords Hybrid automata, GIS, Agentbased systems, Cellular automata, Informal settlements  
series CAADRIA
last changed 2016/05/16 09:08

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