id 
caadria2017_124 
authors 
Wortmann, Thomas 
year 
2017 
title 
Opossum  Introducing and Evaluating a Modelbased Optimization Tool for Grasshopper 
source 
P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches  Proceedings of the 22nd CAADRIA Conference, Xi'an JiaotongLiverpool University, Suzhou, China, 58 April 2017, pp. 283292 
summary 
This paper presents Opossum, a new optimization plugin for Grasshopper, a visual dataflow modelling software popular among architects. Opossum is the first publicly available, modelbased optimization tool aimed at architectural design optimization and especially applicable to problems that involve timeintensive simulations of for example daylighting and building energy. The paper details Opossum's design and implementation and compares its performance to four singleobjective and one multiobjective solver. The test problem is timeintensive and simulationbased: optimizing a screened façade for daylight and glare. Opossum outperforms the other singleobjective solvers and finds the most accurate approximation of the Pareto front. 
keywords 
Design Tool; Architectural Design Optimization; Modelbased Optimization; Sustainable Design 
series 
CAADRIA 
email 
thomas_wortmann@mymail.sutd.edu.sg 
full text 
file.pdf (5,833,677 bytes) 
references 
Contenttype: text/plain
details 
citation 
check to select 

Akhtar, T and Shoemaker, CA (2016)
Multi objective optimization of computationally expensive multimodal functions with RBF surrogates and multirule selection
, J Glob Optim, 64(1), pp 1732



Asl, MR, Stoupine, A, Zarrinmehr, S and Yan, W (2015)
Optimo: A BIMbased MultiObjective Optimization Tool
, Proceedings of eCAADe 2015, Vienna, AUT, pp 673682



Attia, S, Hamdy, M, O'Brien, W and Carlucci, S (2013)
Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design
, Energy Build, 60, pp 110124



Bader, J and Zitzler, E (2008)
HypE: An algorithm for fast hypervolumebased manyobjective optimization
, TIKReport 286, ETH Zurich



Cichocka, J, Browne, W and Rodriguez, E (2015)
Evolutionary Optimization Processes as Design Tools
, Proceedings of 31th International PLEA Conference, Bologna, IT



Conn, A, Scheinberg, K and Vicente, L (2009)
Introduction to DerivativeFree Optimization
, Society for Industrial and Applied Mathematics, Philadelphia, PA



Costa, A and Nannicini, G (2010)
RBFOpt: an opensource library for blackbox optimization with costly function evaluations
, Optimization Online 4538



Evins, R (2013)
A review of computational optimisation methods applied to sustainable building design
, Renew Sustainable Energy Rev, 22, pp 230245



Gutmann, HM (2001)
A Radial Basis Function Method for Global Optimization
, J Glob Optim, 19(3), pp 201227



Hamdy, M, Nguyen, AT and Hensen, JLM (2016)
A performance comparison of multiobjective optimization algorithms for solving nearlyzeroenergybuilding design problems
, Energy Build, 121, pp 5771



Holmstr??m, K, Quttineh, NH and Edvall, MM (2008)
An adaptive radial basis algorithm (ARBF) for expensive blackbox mixedinteger constrained global optimization
, Optim Eng, 9(4), pp 311339



Imbert, F, Frost, KS, Fisher, A, Witt, A, Tourre, V and Koren, B (2013)
Concurrent Geometric, Structural and Environmental Design: Louvre Abu Dhabi
, AAG 2012, pp 7790



Jakubiec, JA and Reinhart, CF (2011)
DIVA 20: Integrating daylight and thermal simulations using Rhinoceros 3D, Daysim and EnergyPlus
, IBPSA 2011, Sydney, AUS, pp 22022209



Jones, DR, Perttunen, CD and Stuckman, BE (1993)
Lipschitzian optimization without the Lipschitz constant
, J Optimiz Theory, 79(1), pp 157181



Knowles, J (2006)
ParEGO: a hybrid algorithm with online landscape approximation for expensive multiobjective optimization problems
, IEEE Trans Evolut Comput, 10(1), pp 5066



Koziel, S, Ciaurri, DE and Leifsson, L (2011)
SurrogateBased Methods
, Koziel, S and Yang, XS (eds), Computational Optimization, Methods and Algorithms, Springer, Heidelberg



Nocedal, J and Wright, SJ (2006)
Numerical optimization
, Springer, New York



Radford, AD and Gero, JS (1980)
On Optimization in Computer Aided Architectural Design
, Build Environ, 15, pp 7380



Regis, RG and Shoemaker, CA (2007)
A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions
, INFORMS J Comput, 19(4), pp 497509



Rios, LM and Sahinidis, NV (2013)
Derivativefree optimization: a review of algorithms and comparison of software implementations
, J Glob Optim, 56(3), pp 12471293



last changed 
2017/05/09 08:05 
