Abstract
Component and facility layout plays an important role in the design and usability of many engineering products and systems as mechanical design, process plan, management and architecture including ship compartment layout,... Because of the great complexity of most industrial layout problems, the decision of the acceptable layout is a hard and critical task since the special layout can have a significant consequence on the user satisfaction, the economic cost and broadly speaking the global performances. Thus, in order to propose to the designer an optimal spatial arrangement in a reasonable time, this paper develops an interactive optimization strategy based on a genetic algorithm coupled with a separation algorithm. The proposed method is tested on the layout problem of a shelter. The resolution of this problem is innovative because it introduces the concept of space of accessibility in the layout problem formulation.
Similar content being viewed by others
References
Brintrup A.M., Ramsden J., Tiwari A.: An interactive genetic algorithm-based framework for handling qualitative criteria in design optimization. Comput. Ind. 58, 279–291 (2007)
Cagan J., Shimada K., Yin S.: A survey of computational approaches to the three-dimensional layout problems. Comput. Aided Design 34, 597–611 (2002)
Deb K.: Multi-objective genetic algorithms: problem difficulties and construction of test problems. Evol. Comput. 7, 205–230 (1998)
Drira A., Pierreval H., Hajri-Gabouj S.: Facility layout problems: a survey. Ann. Rev. Control 31, 255–267 (2007)
Dyckhoff H.: A typology of cutting and packing problems. Eur. J. Oper. Res. 44(2), 145–159 (1990)
Giassi A., Bennis F., Maisonneuve J.J.: Multidisciplinary design optimisation and robust design approaches applied to concurrent design. Struct. Multidiscip. Optim. 28, 356–371 (2004)
Imamichi, T., Nagamochi, H.: A multi-sphere scheme for 2d and 3d packing problems. In: SLS 2007: Proceedings of engineering stochastic local search algorithms. designing, implementing and analyzing effective heuristics. Lecture Notes in Computer Science, vol. 4638, pp. 207–211. Springer, Heidelberg. doi:10.1007/978-3-540-74446-7_19 (2007)
Imamichi, T., Nagamochi, H.: Designing algorithms with multi-sphere scheme. In: ICKS ’08: Proceedings of the International Conference on Informatics Education and Research for Knowledge-Circulating Society (icks 2008), pp. 125–130. IEEE Computer Society, Washington, DC, doi:10.1109/ICKS.2008.22 (2008)
Michalek J.J., Papalambros P.Y.: Interactive design optimization of architectural layouts. Eng. Optim. 34, 485–501 (2002)
Poirson E., Petiot J.F., Gilbert J.: Integration of user perceptions in the design process: application to musical instrument optimization. J. Mech. Design 129, 1206–1214 (2007)
Poles, S.: Moga-ii, an improved multi-objective genetic algorithm. ESTECO, Technical Report 2003-006 p 1/16 (2003)
Rabeau S., Depince P., Bennis F.: Collaborative optimization of complex systems: a multidisciplinary approach. Int. J. Interact. Design Manuf. 1, 209–218 (2007)
Serna, L., Mejia, R., Bennis, F., Fischer, X.: Some ways of implementation of interactive design. In: Virtuel Concept 2005, Biarritz (2005)
Su Y., Cagan J.: An extended pattern search algorithm for threedimensional component layout. J. Mech. Design 122, 102–108 (2000)
Szykman S., Cagan J.: Constrained three-dimensional component layout using simulated annealing. J. Mech. Design 119, 28–35 (1997)
Yi M., Fadel G.M., Gantovnik V.B.: Vehicle configuration design with a packing genetic algorithm. Int. J. Heavy Veh. Syst. 15, 433–448 (2008)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Bénabès, J., Bennis, F., Poirson, E. et al. Interactive optimization strategies for layout problems. Int J Interact Des Manuf 4, 181–190 (2010). https://doi.org/10.1007/s12008-010-0100-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12008-010-0100-x