Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design

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Byrne, Jonathan; Fenton, Michael; McDermott, James; McDermott, James; O'Neill, Michael; McNally, Ciaran; Shotton, Elizabeth: Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design. In: EvoMUSART 2011, S. 204-213.



This study evolves and categorises a population of conceptual designs by their ability to handle physical constraints. The design process involves a trade-off between form and function. The aesthetic considerations of the designer are constrained by physical considerations and material cost. In previous work, we developed a design grammar capable of evolving aesthetically pleasing designs through the use of an interactive evolutionary algorithm. This work implements a fitness function capable of applying engineering objectives to automatically evaluate designs and, in turn, reduce the search space that is presented to the user.

Extended Abstract


booktitle={Applications of Evolutionary Computation},
series={Lecture Notes in Computer Science},
editor={Di Chio, Cecilia and Brabazon, Anthony and Di Caro, GianniA. and Drechsler, Rolf and Farooq, Muddassar and Grahl, Jörn and Greenfield, Gary and Prins, Christian and Romero, Juan and  Squillero, Giovanni and Tarantino, Ernesto and Tettamanzi, AndreaG.B. and Urquhart, Neil and Uyar, A.Şima},
title={Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design},
url={ },
publisher={Springer Berlin Heidelberg},
author={Byrne, Jonathan and Fenton, Michael and Hemberg, Erik and McDermott, James and O’Neill, Michael and Shotton, Elizabeth and Nally, Ciaran},

Used References

Banzhaf, W.: Interactive evolution. In: Back, T., Fogel, D.B., Michalewicz, Z. (eds.) Handbook of Evolutionary Computation, ch. C2.9, pp. 1–6. IOP Publishing Ltd., Oxford University Press (1997)

British Standards Institution: BS EN 338-2003: Structural Timber Strength Classes. BSI, London (2003)

Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 182–197 (2002)

Fenton, M.: Analysis of Timber Structures Created Using A G.E-Based Architectural Design Tool. Master’s thesis, University College Dublin, Ireland (2010)

Frey, P.J.: MEDIT:interactive mesh visualization. 0 RT-0253, INRIA (December 2001),

Generative Components,

Gero, J.S.: Creativity, emergence and evolution in design. Knowledge-Based Systems 9(7), 435–448 (1996)

Glaylord, E., Glaylord, C.: Structural engineering handbook. McGraw-Hill, New York (1979)

Grasshopper, Generative Modeling with Rhino,

Hagberg, A.A., Schult, D.A., Swart, P.J.: Exploring network structure, dynamics, and function using networkx. In: Proceedings of the 7th Python in Science Conference, Pasadena, CA USA, pp. 11–15 (2008)

Hoeffler, A., Leysner, U., Weidermann, J.: Optimization of the layout of trusses combining strategies based on Mitchels theorem and on biological principles of evolution. In: Proceeding of the 2nd Symposium on Structural Optimisation, Milan, Italy (1973)

Hornby, G.S.: Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design. In: Proceedings of GECCO 2005 (2005)

Hornby, G.S., Pollack, J.B.: The advantages of generative grammatical encodings for physical design. In: Proceedings of the 2001 Congress on Evolutionary Computation CEC 2001, pp. 600–607. IEEE Press, Los Alamitos (2001)

Kicinger, R., Arciszewski, T., DeJong, K.: Evolutionary design of steel structures in tall buildings. Journal of Computing in Civil Engineering 19(3), 223–238 (2005)

Kicinger, R., Arciszewski, T., Jong, K.D.: Evolutionary computation and structural design: A survey of the state-of-the-art. Computers and Structures 83(23-24), 1943–1978 (2005)

Link to the bridge grammar,

McDermott, J., Byrne, J., Swafford, J.M., O’Neill, M., Brabazon, A.: Higher-order functions in aesthetic EC encodings. In: 2010 IEEE World Congress on Computational Intelligence, pp. 2816–2823. IEEE Press, Barcelona (2010)

O’Neill, M.: Automatic Programming in an Arbitrary Language: Evolving Programs with Grammatical Evolution. Ph.D. thesis, University Of Limerick, Ireland (2001)

O’Neill, M., McDermott, J., Swafford, J.M., Byrne, J., Hemberg, E., Shotton, E., McNally, C., Brabazon, A., Hemberg, M.: Evolutionary design using grammatical evolution and shape grammars: Designing a shelter. International Journal of Design Engineering (in press)

O’Reilly, U.M., Hemberg, M.: Integrating generative growth and evolutionary computation for form exploration. Genetic Programming and Evolvable Machines 8(2), 163–186 (2007), special issue on developmental systems

San Lee’s Free Finite Element Analysis,

Shea, K., Aish, R., Gourtovaia, M.: Towards integrated performance-driven generative design tools. Automation in Construction 14(2), 253–264 (2005)

Shea, K., Smith, I., et al.: Improving full-scale transmission tower design through topology and shape optimization. Journal of Structural Engineering 132, 781 (2006)

Takagi, H.: Interactive evolutionary computation: Fusion of the capabilities of EC optimization and human evaluation. Proc. of the IEEE 89(9), 1275–1296 (2001)

Topping, B., Leite, J.: Parallel genetic models for structural optimization. Engineering Optimization 31(1), 65–99 (1988)

Zitzler, E., Thiele, L.: Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach. IEEE Trans. Evolutionary Computation 3(4), 257–271 (1999)


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