Process design optimisation using embedded hybrid visualisation and data analysis techniques within a genetic algorithm optimisation framework

Chemical Engineering and Processing: Process Intensification

Volumn 43, Issue 5, 2004, Pages 657-669

  Wang, K ^a   Salhi, A ^b   Fraga, E S ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF ESSEX   (United Kingdom)

Author keywords

Discovery; Genetic algorithm; Knowledge; Non linear optimisation; Visualisation

Indexed keywords

DATA REDUCTION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; PROCESS ENGINEERING; PRODUCT DESIGN;

PROCESS OPTIMIZATION;

CHEMICAL ENGINEERING;

DESIGN; GENETIC ALGORITHM; MATHEMATICAL MODELING; PROCESS INDUSTRY; PROCESS OPTIMIZATION;

EID: 0346008041     PISSN: 02552701     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cep.2003.01.001     Document Type: Article

References (20)

1. K. Wang, A. Salhi, E.S. Fraga, Cluster identification using a parallel co-ordinate system for knowledge discovery and nonlinear optimization, in: J. Grievink, J. van Schijndel (Eds.), Proceedings of the 12th European Symposium on Computer-Aided Process Engineering, Computer-Aided Chemical Engineering, vol. 10, Elsevier, Amsterdam, 2002, pp. 1003-1008.
2. T. Kohonen, Self-Organizing Maps, Springer-Verlag, Heidelberg, 1995.
3. C.A. Floudas, Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications. Topics in Chemical Engineering, Oxford University Press, New York, 1995.
4. D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, MA, 1989.
5. Homaifar A.Lai S.H.-V.Qi X.Constrained optimization via genetic algorithms Simulation 624 1994 242-254
6. J.A. Joins, C.R. Houck, On the use of nonstationary penalty functions to solve nonlinear constrained optimization problems with GAs, in: Z. Michalewicz (Ed.), Proceedings of the International Conference on Evolutionary Computation, IEEE Press, Piscataway, 1994, pp. 579-584.
7. Z. Michalewicz, N. Attia, Evolutionary optimization of constrained problems, in: A.V. Sebald, L.J. Fogel (Eds.), Proceedings of the Third Annual Conference on Evolutionary Programming, World Science, Singapore, 1994, pp. 98-108.
8. Z. Michalewicz, Genetic algorithms, numberical optimization and constraints, in: L. Eshelman (Ed.), Proceedings of the Sixth International Conference on Genetic Algorithms, vol. 195, Morgan Kauffman, San Mateo, 1995, pp. 151-158.
9. Michalewicz Z.Schoenauer M.Evolutionary algorithms for constrained parameter optimization problems Evol. Comput. 41 1996 1-32
10. Deb K.An efficient constraint handling method for genetic algorithms Comput. Methods Appl. Mech. Eng. 186 2000 311-338
11. Lee H.Y.Ong H.L.Visualization support for data mining IEEE Expert 115 1996 69-75
12. D.A. Keim, Visual database exploration techniques, in: Proceedings of the International Conference on Knowledge Discovery and Data Mining (KDD'97), Tutorial 6, 1997, http://www-aig.jpl.nasa.gov/ Public/Kdd 97.
13. Inselberg A.Dimsdale B.Multidimensional line II: proximity and applications SIAM J. Appl. Math. 542 1994 578-596
14. Chou S.Y.Lin S.W.Yeh C.S.Cluster identification with parallel coordinates Pattern Recognit. Lett. 20 1999 565-572
15. Du Q.Faber V.Gunaburger M.Centroidal Voronoi tessellation: application and algorithms SIAM Rev. 41 1999 637-676
16. Deb K.Agrawal R.B.Simulated binary crossover for continuous search space Complex Syst. 9 1995 115-148
17. Deb K.Goyal M.A combined genetic adaptive search (GeneAS) for engineering design Comput. Sci. Inform. 264 1996 30-45
18. E.S. Fraga, M.A. Steffens, I.D.L. Bogle, A.K. Hind, An object oriented framework for process synthesis and simulation, in: M.F. Malone, J.A. Trainham, B. Carnahan (Eds.), Foundations of Computer-Aided Process Design, AIChE Symposium Series, vol. 96, American Institute of Chemical Engineers, Breckenridge, Colorado, 2000, pp. 446-449.
19. M. Wall, GALib: a C++ library of genetic algorithm components, http://lancet.mit.edu/ga
20. McCarthy E.Fraga E.S.Ponton J.W.An automated procedure for multicomponent product separation synthesis Comput. Chem. Eng. 227 1998 S77-S84