Fuzzy decision-making design of chemical plant using mixed-integer hybrid differential evolution

Computers and Chemical Engineering

Volumn 26, Issue 12, 2002, Pages 1649-1660

  Huang, Hsuan Jui ^a   Wang, Feng Sheng ^a  

^a NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

Author keywords

Batch design; Differential evolution; Fuzzy decision making; Mixed integer nonlinear programming; Multi objective optimization

Indexed keywords

ALGORITHMS; DECISION MAKING; MATHEMATICAL MODELS; NONLINEAR PROGRAMMING; OPTIMIZATION;

DIFFERENTIAL EVOLUTION;

CHEMICAL PLANTS;

CHEMICAL ENGINEERING; FUZZY MATHEMATICS; OPTIMIZATION;

ALGORITHM; ARTICLE; BATCH PROCESS; CHEMICAL INDUSTRY; DECISION MAKING; HYBRID; MATHEMATICAL ANALYSIS; OPERATOR; PROBLEM SOLVING; PROCESS DESIGN; PROCESS DEVELOPMENT; PROCESSING;

EID: 0037114381     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(02)00098-4     Document Type: Article

References (17)

1. Chiou, J.P., & Wang, F.S. (1998). A hybrid method of differential evolution with application to optimal control problems of a bioprocess system. Proceedings IEEE International Conference Evolutionary Computation (pp. 627-631). Anchorage.
2. Chiou, J. P. & Wang, F. S. (1999). Hybrid method of evolution algorithms for static and dynamic optimization problems with application to a fedbatch fermentation process. Computers Chemical Engineering 23, 1277-1291.
3. Grossmann, I. E. (1991). Optimal design of multiproduct batch plants. In M. Morari & I. E. Grossmann (Eds.), CACHE Process Design Case Studies, vol. 6.
4. Grossmann, I. E. & Sargent, R. W. H. (1979). Optimum design of multipurpose chemical plants. Industrial Engineering and Chemical Process Design and Development 18, 343-348.
5. Knopf, O. C., Okos, M. R. & Reklaitis, G. V. (1982). Optimal design of batch/semicontinuous processes. Industrial Engineering and Chemical Process Design and Development 21, 79-86.
6. Lin, Y.C., Wang, F.S., & Hwang, K.S. (1999). A hybrid method of evolutionary algorithms for mixed-integer nonlinear optimization problems, Proceedings of the 1999 IEEE Congress on Evolutionary Computation (pp. 2159-2163). Washington DC, IEEE Service Center.
7. Lin, Y.C., Hwang, K.S., & Wang, F.S. (2002). Hybrid differential evolution with multiplier updating method for nonlinear constrained optimization problems. Proceedings of the 2002 IEEE World Congress on Computation Intelligence (pp 872-877). Honolulu, Hawaii, IEEE Service Center.
8. Michalewicz, Z. & Schoenauer, M. (1996). Evolutionary algorithms for constrained parameter optimization problems. Evolutionary Computation 4, 1-32.
9. Modo, A. K. & Karimi, I. A. (1989). Design of multiproduct batch processes with finite intermediate storage. Computer Chemical Engineering 13, 127-139.
10. Montagna, J. M., Vecchietti, A. R., Iribarren, O. A., Pinto, J. M. & Asenjo, J. A. (2000). Optimal design of protein production plants with time and size factor process models. Biotechnology Program 16, 228-237.
11. Patel, A. N., Mah, R. S. & Karimi, I. A. (1991). Preliminary design of multiproduct moncontinuous plants using simulated annealing. Computer Chemical Engineering 15, 451-469.
12. Powell, M. J. D. (1978). Algorithms for nonlinear constraints that use Lagrangian functions. Mathematical Programming 14, 224-248.
13. Sakawa, M. (1993). Fuzzy Sets and Interactive Multiobjective Optimization. New York: Plenum Press.
14. Sawaragi, Y., Nakayama, H. & Tanino, T. (1985). Theory of Multi-Objective Optimization. London: Academic Press.
15. Wang, C., Quan, H. & Xu, X. (1999). Optimal design of multiproduct batch chemical processes using tabu search. Computer Chemical Engineering 23, 427-437.
16. Wang, C., Quan, H. & Xu, X. (1996). Optimal design of multiproduct batch chemical process using genetic algorithms. Industrial Engineering and Chemical Research 35, 3560-3566.
17. Yao, Z. L. & Yuan, X. G. (2000). An approach to optimal design of batch processes with waste minimization. Computer Chemical Engineering 24, 1437-1444.