Generic representation of solid-object geometry for genetic search

Computer-Aided Civil and Infrastructure Engineering

Volumn 11, Issue 3, 1996, Pages 153-161

  Bentley, Peter J ^a   Wakefield, Jonathan P ^a  

^a UNIVERSITY OF HUDDERSFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 19944362917     PISSN: 10939687     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1467-8667.1996.tb00319.x     Document Type: Article

References (16)

1. Anwei, L., Xin, Y., Hua, L. & Shenquen, L., HYBRID - A solid and surface modeling system based on database. In CAD and Computer Graphics '89, Beijing, 1989, pp. 222-27.
2. Bentley, P. J. & Wakefield, J. P., The Evolution of Solid Object Designs Using Genetic Algorithms, Applied Decision Technologies, London, 1995, pp. 391-400.
3. Chuan Jun Su, Mayer, R. J. & Browne, D. C., Generalised CSG: A solid modeling basis for high productivity CAD systems, Autofact '91, 1991, pp. 17/35-17/43.
4. Foley, J., van Dam, A., Feiner, S. & Hughes, J., Computer Graphics Principles and Practice, 2nd ed., Addison-Wesley, Reading, MA, 1990.
5. Goldberg, D. E., Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA, 1989.
6. Goldberg, D. E., Deb, K., Kargupta, H. & Harik, G., Rapid, Accurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms, Illinois Genetic Algorithms Laboratory (IlliGAL) Report No. 93004, 1993.
7. Joy, K. I., Utilizing parametric hyperpatch methods for modeling and display of free-form solids. In Symposium on Solid Modeling Foundations and CAD/CAM Applications, eds. J. Rossingnac & J. Turner, Association for Computing Machinery, pp. 245-254.
8. Keane, A. J., Experiences with optimizers in structural design. In Adaptive Computing in Engineering Design and Control '94, Plymouth, University of Plymouth, 1994, pp. 14-27.
9. King, E. G., Freeman, L. M., Karr, C. L. & Whitaker, K. W., The use of a genetic algorithm for minimum length nozzle design: A process overview. In Third Workshop on Neural Networks: Acedemic/Industrial/NASA/Defense, 1993, pp. 556-63.
10. Levine, D., A parallel genetic algorithm for the set partitioning problem, D.Phil, dissertation, Argonne National Laboratory, Illinois, 1994.
11. Pawrmee, I. C. & Denham, M. J., The integration of adaptive search techniques with current engineering design practice. In Adaptive Computing in Engineering Design and Control '94, Plymouth, University of Plymouth, 1994, pp. 1-13.
12. Parmee, I. C. & Purchase, G., The development of a directed genetic search technique for heavily constrained design spaces. In Adaptive Computing in Engineering Design and Control '94, Plymouth, University of Plymouth, 1994, pp. 97-108.
13. Pham, D. T. & Yang, Y., A genetic algorithm based preliminary design system, Journal of Automobile Engineers, 207 (2) (1993), 127-33.
14. Radcliffe, N. J. & Surry, P. D., Formal Memetic Algorithms, Edinburgh Parallel Computing Centre, Edinburgh, 1994.
15. Robbins, P., The effect of parasitism on the evolution of a communication protocol. In The 3rd International Conference on Simulation of Adaptive Behaviour (From Animals to Animals 3), Brighton, 1994, MIT Press, Cambridge, MA, pp. 431-7.
16. Whitley, D. & Starkweather, T. GENITOR II: A distributed genetic algorithm, Journal of Experimental and Theoretic Artificial Intelligence, 2 (3) (1990), 189-214.