Biomimetic adaptations of GA and SA for the robust MO optimization of an industrial nylon-6 reactor

Materials and Manufacturing Processes

Volumn 24, Issue 1, 2009, Pages 38-46

  Ramteke, Manojkumar ^a   Gupta, Santosh K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

Depolymerization; Genetic algorithm; Global optimal; Hydrolytic step growth polymerization; Industrial semibatch reactor; Jumping gene; Multiobjective optimization; Nylon 6; Pareto set; Pressure history; Ring opening; Robust optimization; Simulated annealing

Indexed keywords

ANNEALING; AUTOMOBILE MATERIALS; AUTOMOBILE PARTS AND EQUIPMENT; BATCH REACTORS; BIOMIMETICS; CHEMICAL REACTIONS; ELECTRONIC EQUIPMENT; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; GROWTH (MATERIALS); MONOMERS; MULTIOBJECTIVE OPTIMIZATION; NEGATIVE IONS; OPTIMIZATION; PARETO PRINCIPLE; PLASTIC PARTS; POLYAMIDES; POLYMERIZATION; POLYMERS; RAYON; REACTION KINETICS; RING OPENING POLYMERIZATION;

GLOBAL OPTIMAL; HYDROLYTIC STEP-GROWTH POLYMERIZATION; INDUSTRIAL SEMIBATCH REACTOR; JUMPING GENE; NYLON 6; PARETO SET; PRESSURE HISTORY; RING OPENING; ROBUST OPTIMIZATION;

SIMULATED ANNEALING;

EID: 57649150135     PISSN: 10426914     EISSN: 15322475     Source Type: Journal    
DOI: 10.1080/10426910802540612     Document Type: Conference Paper

References (17)

1. Deb, K. Multi-Objective Optimization Using Evolutionary Algorithms; Wiley: Chichester, UK, 2001, p. 491.
2. Coello Coello, CA.; Veldhuizen, D.A.V.; Lamont, G.B. Evolutionary Algorithms for Solving Multi-Objective Problems; Springer: New York, 2007, p. 576.
3. Kirpatrick, S.; Gelatt, C.D.; Vecchi, M.P. Optimization by simulated annealing. Science 1983, 220 (4598), 671-680.
4. Suppapitnarm, A.; Seffen, K.A.; Parks, G.T.; Clarkson, P.J. A simulated annealing algorithm for multiobjective optimization. Engineering Optimization 2000, 33 (1), 59-85.
5. Simoes, A.B.; Costa, E. Artificial neural nets and genetic algorithms. In Proceedings of the 4th ICANNGA99, Dobnikar, A.; Steele, N.C.; Pearson, D.W.; Albrecht, R.F., Eds.; Portorez, Slovenia, April 1999; Springer: Berlin, 1999, pp. 178-186.
6. Kasat, R.B.; Gupta, S.K. Multiobjective optimization of an industrial Fluidized-Bed Catalytic Cracking Unit (FCCU) using genetic algorithm with the jumping gene operator. Computers and Chemical Engineering 2003, 27 (12), 1785-1800.
7. McClintock, B. The discovery and characterization of transposable elements. In The Collected Papers of Barbara McClintock, Garland: New York, USA, 1987; p. 635.
8. Ripon, K.S.N.; Kwong, S.; Man, K.F. Real Coding Implementation of Jumping Gene Genetic Algorithm (RJGGA) for multiobjective optimization. Information Sciences 2007, 177(2), 632-654.
9. Rangaiah, G.P. Multi-Objective Optimization Techniques and Applications in Chemical Engineering (Advances in Process System Engineering - Vol. 1); World Scientific: Singapore, 2009; in press.
10. Reimschuessel, H.K. Nylon 6 chemistry and mechanisms. Journal of Polymer Science, Macromolecular Review 1977, 12 (1), 65-139.
11. Tai, K.; Tagawa, T. Simulation of hydrolytic polymerization of e-caprolactam in various reactors. A review on recent advances in reaction engineering of polymerization. Industrial and Engineering Chemistry Product Research and Development 1983, 22 (2), 192-206.
12. Mitra, K.; Deb, K.; Gupta, S.K. Multiobjective dynamic optimization of an industrial Nylon 6 semibatch reactor using genetic algorithm. Journal of Applied Polymer Science 1998, 69 (1), 69-87.
13. Deb, K.; Gupta, H. Searching for Robust Pareto-Optimal Solutions in Multi-Objective Optimization. Proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization (EMO-2005). Guanajuato, Mexico. Lecture Notes on Computer Science 2005, 3410, 150-164.
14. Kumar, V.S.; Gupta, S.K. Modeling of higher cyclic oligomer formation in Nylon 6 polymerization. Industrial and Engineering Chemistry Research 1997, 36, 1202-1210.
15. Wajge, R.M.; Rao, S.S.; Gupta, S.K. Simulation of an industrial semibatch Nylon-6 reactor. Polymer 1994, 35 (17), 3722-3734.
16. Ramteke, M.; Gupta, S.K. Multi-objective optimization of an industrial Nylon-6 semi batch reactor using the a-jumping gene adaptations of genetic algorithm and simulated annealing. Polymer Engineering Science 2008, (in press).
17. Sankararao, B.; Gupta, S.K. Multi-objective optimization of the dynamic operation of an industrial steam reformer using the jumping gene adaptations of simulated annealing. Asia-Pacific Journal of Chemical Engineering 2006, 1 (2), 21-31.