Interactive optimization strategies for layout problems

International Journal on Interactive Design and Manufacturing

Volumn 4, Issue 3, 2010, Pages 181-190

  Bénabès, Julien ^a   Bennis, Fouad ^a   Poirson, Emilie ^a   Ravaut, Yannick ^b  

^a ECOLE CENTRALE DE NANTES   (France)

^b THALES COMMUNICATIONS   (France)

Author keywords

Genetic algorithm; Interactive optimization; Layout problem

Indexed keywords

CRITICAL TASKS; ECONOMIC COSTS; FACILITY LAYOUT; GLOBAL PERFORMANCE; INTERACTIVE OPTIMIZATION; LAYOUT PROBLEM; LAYOUT PROBLEMS; MECHANICAL DESIGN; PROCESS PLAN; SEPARATION ALGORITHMS; SPATIAL ARRANGEMENTS; USER SATISFACTION;

DESIGN; GENETIC ALGORITHMS; HUMAN COMPUTER INTERACTION; PLANT LAYOUT;

OPTIMIZATION;

EID: 77955558967     PISSN: 19552513     EISSN: 19552505     Source Type: Journal    
DOI: 10.1007/s12008-010-0100-x     Document Type: Article

References (16)

1. 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).
2. Cagan J., Shimada K., Yin S.: A survey of computational approaches to the three-dimensional layout problems. Comput. Aided Design 34, 597-611 (2002).
3. Deb K.: Multi-objective genetic algorithms: problem difficulties and construction of test problems. Evol. Comput. 7, 205-230 (1998).
4. Drira A., Pierreval H., Hajri-Gabouj S.: Facility layout problems: a survey. Ann. Rev. Control 31, 255-267 (2007).
5. Dyckhoff H.: A typology of cutting and packing problems. Eur. J. Oper. Res. 44(2), 145-159 (1990).
6. 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).
7. 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).
8. 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).
9. Michalek J. J., Papalambros P. Y.: Interactive design optimization of architectural layouts. Eng. Optim. 34, 485-501 (2002).
10. 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).
11. Poles, S.: Moga-ii, an improved multi-objective genetic algorithm. ESTECO, Technical Report 2003-006 p 1/16 (2003).
12. Rabeau S., Depince P., Bennis F.: Collaborative optimization of complex systems: a multidisciplinary approach. Int. J. Interact. Design Manuf. 1, 209-218 (2007).
13. Serna, L., Mejia, R., Bennis, F., Fischer, X.: Some ways of implementation of interactive design. In: Virtuel Concept 2005, Biarritz (2005).
14. Su Y., Cagan J.: An extended pattern search algorithm for threedimensional component layout. J. Mech. Design 122, 102-108 (2000).
15. Szykman S., Cagan J.: Constrained three-dimensional component layout using simulated annealing. J. Mech. Design 119, 28-35 (1997).
16. 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).