An evolutionary approach for multi-objective dynamic optimization applied to middle vessel batch distillation

Computers and Chemical Engineering

Volumn 33, Issue 4, 2009, Pages 857-870

  Leipold, Matthias ^a   Gruetzmann, Sven ^a   Fieg, Georg ^a  

^a HAMBURG UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Middle vessel batch distillation; Mixed integer dynamic optimization; Modified differential evolution; Pareto optimal design and operation; Total reflux operation

Indexed keywords

MIDDLE VESSEL BATCH DISTILLATION; MIXED INTEGER DYNAMIC OPTIMIZATION; MODIFIED DIFFERENTIAL EVOLUTION; PARETO OPTIMAL DESIGN AND OPERATION; TOTAL REFLUX OPERATION;

DISTILLATION; INTEGER PROGRAMMING; MULTIOBJECTIVE OPTIMIZATION; OPTIMAL SYSTEMS;

EVOLUTIONARY ALGORITHMS;

EID: 61749090146     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2008.12.010     Document Type: Article

References (38)

1. Abbass H.A., Saker R., and Newton C. PDE: a pareto-frontier differential evolution approach for multi-objective optimization problems. Proceedings of the 2001 Congress on Evolutionary Computation 2 (2001) 971-978
2. Angira R., and Babu B.V. Optimization of non-linear chemical processes using modified differential evolution. Proceedings of the 2nd Indian international conference on artificial intelligence (IICAI-2005) (2005) 911-923
3. Angira R., and Babu B.V. Process synthesis and design using modified differential evolution (MDE). Proceedings of the international symposium & 58th annual session of IIChE in association with international partners (CHEMCON-2005) (2005)
4. Barakat T.M., Fraga E.S., and Sørensen E. Multi-objective optimisation of batch distillation processes. In: Marquardt W., and Pantelides C. (Eds). Proceedings of the16th European symposium on computer aided process engineering and 9th international symposium on process systems engineering (2006) 955-960
5. Barolo M., Guarise B., Ribon N., Rienzi S., and Trotta A. Some issues in the design and operation of a batch distillation column with a middle vessel. Computers and Chemical Engineering 20 (1996) 37-42
6. Bersini H., Dorigo M., Langerman S., Geront G., and Gambardella L. Results of the first international contest on evolutionary optimisation (1st iceo). Proceedings of IEEE international conference on evolutionary computation (1996) 611-615
7. Biegler L.T., and Grossmann I.E. Retrospective on optimization. Computers and Chemical Engineering 28 (2004) 1169-1192
8. Björkmann M., and Holmström K. Global optimization using the DIRECT algorithm in Matlab. Advanced Modeling and Optimization 1 2 (1999) 17-37
9. Charbonneau, P., & Knapp, B. (1995). Users guide to PIKAIA 1.0. NCAR Technical note TN-418-IA.
10. Deb K. An efficient constraint handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering 186 2-4 (2000) 311-338
11. Deb K. Multi-objective optimization using evolutionary algorithms (2004), Wiley, Chichester, UK
12. Deb K., Pratap A.P., and Meyarivan T. Constrained test problems for multi-objective evolutionary optimization. In: Zitzler E., Deb K., Thiele L., Coello Coello C.A., and Corne D. (Eds). 1st international conference on evolutionary multi-criterion optimization (2001), Springer Verlag, New York 284-298
13. Engel V., Stichlmair J., and Geipel W. Fluid dynamics of packings for gas-liquid contactors. Chemical Engineering and Technology 24 5 (2001) 549
14. Floudas C.A., Akrotirianakis I.G., Caratzoulas S., Meyer C.A., and Kallrath J. Global optimization in the 21st century: advances and challenges. Computers and Chemical Engineering 29 (2005) 1185-1202
15. Fonseca C.M., and Fleming P.J. Genetic algorithms for multi-objective optimisation: formulation, discussion and generalisation. In: Forrest S. (Ed). Proceedings of the 5th international conference on genetic algorithms. Urbana, IL (1993) 416-423
16. Furlonge H.I., Pantelides C.C., and Sørensen E. Optimal operation of multivessel batch distillation columns. AIChE Journal 45 4 (1999) 781-801
17. Gruetzmann S., Kapala Th., and Fieg G. Dynamic modeling of complex batch distillation starting from ambient conditions. In: Marquardt W., and Pantelides C. (Eds). Proceedings of the16th European symposium on computer aided process engineering and 9th international symposium on process systems engineering (2006) 865-870
18. Gruetzmann S., and Fieg G. Improvements in configuration of a middle vessel batch distillation by means of rigorous dynamic modelling and simulation. Proceedings of the 15th IASTED international conference on applied simulation and modelling. Rhodes, Greece (2006)
19. Gruetzmann S., and Fieg G. Startup operation of middle vessel batch distillation: modeling and simulation. Industrial Engineering & Chemistry Research 47 (2008) 813-824
20. Gujrathi A.M., and Babu B.V. Multi-objective differential evolution (MODE): a new algorithm for solving multi-objective optimization problems. Proceedings of international symposium & 58th annual session of IIChE in association with international partners (CHEMCON-2005) (2005)
21. Hasebe S., Kurooka T., and Hashimoto I. Comparison of the separation performances of a multi-effect batch distillation system and a continuous distillation system. Proceedings of IFAC-symposium DYCORD'95 (1995) 249-254
22. Hasebe S., Noda M., and Hashimoto I. Optimal operation policy for total reflux and multi-effect batch distillation systems. Computers and Chemical Engineering 23 (1999) 523-532
23. Huang, V.L., Qin, A.K., Deb, K., Zitzler, E., Suganthan, P.N., Liang, J.J., & et al. (2007). Problem definitions for performance assessment of multi-objective optimization algorithms, Technical Report. School of EEE, Nanyang Technological University, Singapore.
24. Low K.H., and Sørensen E. Simultaneous optimal design and operation of multivessel batch distillation. AIChE Journal 49 10 (2003) 2564-2576
25. Low K.H., and Sørensen E. Simultaneous optimal configuration, design and operation of batch distillation. AIChE Journal 51 6 (2005) 1700-1713
26. Mackowiak J. Fluiddynamik von Füllkörpern und Packungen (2003), Springer Verlag, Berlin, Germany
27. Michalewicz Z. Genetic algorithms + data structures = evolution programs (1994), Springer Verlag, Berlin, Germany
28. Mühlenbein D., Schomisch H., and Born J. The parallel genetic algorithm as function optimizer. Parallel Computing (1991) 619-632
29. Peters M.S., Timmerhaus K.D., and West R.E. Plant design and economics for chemical engineers (2003), McGraw-Hill, Boston, USA
30. Schwefel H.P. Numerical optimization of computer models (1981), John Wiley & Sons, Inc., Chichester, UK
31. Schaffer J.D. Multiple objective optimization with vector evaluated genetic algorithms. In: Grefenstette J.J. (Ed). Proceedings of the first international conference on genetic algorithms - ICGA (1985), Lawrence Erlbaum Associates 93-100
32. Shopova E.G., and Vaklieva-Bancheva N.G. BASIC - a genetic algorithm for engineering problems solution. Computers and Chemical Engineering 30 (2006) 1293-1309
33. Srinivas N., and Deb K. Multiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary Computation 2 3 (1994) 221-248
34. Storn, R., & Price, K. (1995). Differential evolution - a simple and efficient adaptive scheme for global optimization over continuous spaces. Technical Report TR-95-012, International Computer Science Institute, Berkeley.
35. Tan K., Khor E., and Lee T.H. Multiobjective evolutionary algorithms and applications (2005), Springer, London, UK
36. Tanaka M., Watanabe H., Furukawa Y., and Tanino T. GA-based decision support system for multicriteria optimization. Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics, 2 (1995), IEEE, New York pp. 1556-1561
37. Wittgens B., Litto R., Sørensen E., and Skogestad S. Total reflux operation of multivessel batch distillation. Computers and Chemical Engineering 46 (1996) 1041-1046
38. Zitzler E., Deb K., and Thiele L. Comparison of multiobjective evolutionary algorithms: empirical results. Evolutionary Computation 8 2 (1999) 173-195