Journal of Automated Methods and Management in Chemistry
Volume 2009 (2009), Article ID 927426, 9 pages
doi:10.1155/2009/927426
Research Article
Optimal Solutions of Multiproduct Batch Chemical Process Using Multiobjective Genetic Algorithm with Expert Decision System
Department of Electronics, Faculty of Engineering, University of Setif, 19000 Setif, Algeria
Received 9 February 2009; Accepted 3 March 2009
Academic Editor: Peter Stockwell
Copyright © 2009 Diab Mokeddem and Abdelhafid Khellaf. This is an open access article distributed under the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Linked References
- A. Lamghabbar, S. Yacout, and M. S. Ouali, “Concurrent optimization of the design and manufacturing stages of product development,” International Journal of Production Research, vol. 42, no. 21, pp. 4495–4512, 2004. View at Publisher · View at Google Scholar
- D.-M. Cao and X.-G. Yuan, “Optimal design of batch plants with uncertain demands considering switch over of operating modes of parallel units,” Industrial and Engineering Chemistry Research, vol. 41, no. 18, pp. 4616–4625, 2002. View at Publisher · View at Google Scholar
- W. Chunfeng and Z. Xin, “Ants foraging mechanism in the design of multiproduct batch chemical process,” Industrial and Engineering Chemistry Research, vol. 41, no. 26, pp. 6678–6686, 2002. View at Publisher · View at Google Scholar
- H. D. Goel, M. P. C. Weijnen, and J. Grievink, “Optimal reliable retrofit design of multiproduct batch plants,” Industrial and Engineering Chemistry Research, vol. 43, no. 14, pp. 3799–3811, 2004. View at Publisher · View at Google Scholar
- S.-K. Heo, K.-H. Lee, H.-K. Lee, I.-B. Lee, and J. H. Park, “A new algorithm for cyclic scheduling and design of multipurpose batch plants,” Industrial and Engineering Chemistry Research, vol. 42, no. 4, pp. 836–846, 2003. View at Publisher · View at Google Scholar
- J. M. Montagna, A. R. Vecchietti, O. A. Iribarren, J. M. Pinto, and J. A. Asenjo, “Optimal design of protein production plants with time and size factor process models,” Biotechnology Progress, vol. 16, no. 2, pp. 228–237, 2000. View at Publisher · View at Google Scholar · View at PubMed
- A. Chakraborty, A. Malcolm, R. D. Colberg, and A. A. Linninger, “Optimal waste reduction and investment planning under uncertainty,” Computers & Chemical Engineering, vol. 28, no. 6-7, pp. 1145–1156, 2004. View at Publisher · View at Google Scholar
- L. Cavin, U. Fischer, F. Glover, and K. Hungerbühler, “Multi-objective process design in multi-purpose batch plants using a Tabu Search optimization algorithm,” Computers & Chemical Engineering, vol. 28, no. 4, pp. 459–478, 2004. View at Publisher · View at Google Scholar
- T. Pinto, A. P. F. D. Barbosa-Póvoa, and A. Q. Novais, “Optimal design and retrofit of batch plants with a periodic mode of operation,” Computers & Chemical Engineering, vol. 29, no. 6, pp. 1293–1303, 2005. View at Publisher · View at Google Scholar
- H.-J. Huang and F.-S. Wang, “Fuzzy decision-making design of chemical plant using mixed-integer hybrid differential evolution,” Computers & Chemical Engineering, vol. 26, no. 12, pp. 1649–1660, 2002. View at Publisher · View at Google Scholar
- S. Dedieu, L. Pibouleau, C. Azzaro-Pantel, and S. Domenech, “Design and retrofit of multiobjective batch plants via a multicriteria genetic algorithm,” Computers & Chemical Engineering, vol. 27, no. 12, pp. 1723–1740, 2003. View at Publisher · View at Google Scholar
- M. Solimanpur, P. Vrat, and R. Shankar, “A multi-objective genetic algorithm approach to the design of cellular manufacturing systems,” International Journal of Production Research, vol. 42, no. 7, pp. 1419–1441, 2004. View at Publisher · View at Google Scholar
- C. Dimopoulos, “Multi-objective optimization of manufacturing cell design,” International Journal of Production Research, vol. 44, no. 22, pp. 4855–4875, 2006. View at Publisher · View at Google Scholar
- J.-P. Brans and B. Mareschal, “The PROMCALC and GAIA decision support system for multicriteria decision aid,” Decision Support Systems, vol. 12, no. 4-5, pp. 297–310, 1994. View at Publisher · View at Google Scholar
- V. Bhaskar, S. K. Gupta, and A. K. Ray, “Applications of multiobjective optimization in chemical engineering,” Reviews in Chemical Engineering, vol. 16, no. 1, pp. 1–54, 2000.
- C. Fonseca and P. Fleming, “An overview of evolutionary algorithms in multiobjective optimization,” Evolutionary Computation, vol. 3, no. 1, pp. 1–16, 1993. View at Publisher · View at Google Scholar
- J. Schaffer, “Multiple objective optimization with vector evaluated genetic algorithms,” in Proceedings of the 1st International Conference on Genetic Algorithms and Their Applications (ICGA '85), pp. 93–100, Pittsburgh, Pa, USA, July 1985.
- H. Ishibuchi and T. Murata, “A multi-objective genetic local search algorithm and its application to flowshop scheduling,” IEEE Transactions on Systems, Man and Cybernetics, Part C, vol. 28, no. 3, pp. 392–403, 1998. View at Publisher · View at Google Scholar
- D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, Mass, USA, 1989.
- J. Horn, N. Nafpliotis, and D. E. Goldberg, “A niched Pareto genetic algorithm for multiobjective optimization,” in Proceedings of the 1st IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence (ICEC '94), vol. 1, pp. 82–87, Orlando, Fla, USA, June 1994. View at Publisher · View at Google Scholar
- E. Zitzler and L. Thiele, “Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach,” IEEE Transactions on Evolutionary Computation, vol. 3, no. 4, pp. 257–271, 1999. View at Publisher · View at Google Scholar
- K. C. Tan, T. H. Lee, and E. F. Khor, “Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization,” IEEE Transactions on Evolutionary Computation, vol. 5, no. 6, pp. 565–588, 2001. View at Publisher · View at Google Scholar
- N. Srinivas and K. Deb, “Muiltiobjective optimization using nondominated sorting in genetic algorithms,” Evolutionary Computation, vol. 2, no. 3, pp. 221–248, 1994. View at Publisher · View at Google Scholar
- K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, “A fast and elitist multiobjective genetic algorithm: NSGA-II,” IEEE Transactions on Evolutionary Computation, vol. 6, no. 2, pp. 182–197, 2002. View at Publisher · View at Google Scholar