Analysis of the particle swarm algorithm in the optimization of a three-phase slurry catalytic reactor

Computers and Chemical Engineering

Volumn 35, Issue 12, 2011, Pages 2741-2749

  Mariano, Adriano Pinto ^a   Costa, Caliane Bastos Borba ^b   de Toledo, Eduardo Coselli Vasco ^c   Melo, Delba Nisi Cosme ^a   Filho, Rubens Maciel ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

^b FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

^c PETROBRAS   (Brazil)

Author keywords

Multiphase reactors; Optimization; PSO

Indexed keywords

CATALYTIC REACTOR; CHEMICAL PROCESS; COMPUTATIONAL BURDEN; CONSTRAINED OPTIMIZATION PROBLEMS; DETERMINISTIC METHODS; ENVIRONMENTAL CONSTRAINTS; HIGH RATE OF CONVERGENCE; INPUT VARIABLES; MULTI VARIABLES; MULTI-PHASE REACTOR; O-CRESOL; OBJECTIVE FUNCTIONS; OPERATING CONDITION; OPTIMIZATION GOALS; OPTIMIZATION PROBLEMS; PARTICLE SWARM ALGORITHM; PSO; PSO ALGORITHMS; REAL-TIME APPLICATION; SIMPLIFIED MATHEMATICAL MODEL; THREE-PHASE CATALYTIC SLURRY REACTORS; TUBULAR GEOMETRY;

ALGORITHMS; APPROXIMATION THEORY; CHEMICAL ANALYSIS; CHEMICAL ENGINEERING; CONSTRAINED OPTIMIZATION; FUNCTIONS; NUMERICAL METHODS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); PROBLEM SOLVING;

MATHEMATICAL MODELS;

EID: 80053898845     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2011.06.001     Document Type: Article

References (20)

1. Clerc M. The swarm and the queen: Towards a deterministic and adaptive particle swarm optimization. Proceedings of the ICEC 1999, 1951-1957.
2. Clerc M., Kennedy J. The particle swarm: explosion, stability, and convergence in a multi-dimensional complex space. IEEE Transactions on Evolutionary Computation 2002, 6:58-73.
3. Deb K. An introduction to genetic algorithms. Sadhana-Academy Proceedings in Engineering Sciences 1999, 24:293.
4. Deb K. An efficient constraint handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering 2000, 186:311-338.
5. Eberhart R.C., Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization. Proceedings of the CEC 2000, 84-88.
6. Jones K. Comparison of genetic algorithms and particle swarm optimization for fermentation feed profile determination. Proceedings of the international conference on computer systems and technologies 2006, IIIB.8-1.
7. Kennedy J., Eberhart R.C. Particle swarm optimization. Proceedings of the IEEE international conference on neural networks (ICNN), Vol. IV 1995, 1942-1948.
8. Kennedy J., Eberhart R.C., Shi Y. Swarm intelligence 2001, Morgan Kaufmann Publishers, San Francisco. 1st ed.
9. Liu Z.-H., Qi W., He Z.-M., Wang H.-L., Feng Y.-Y. PSO-based Parameter estimation of nonlinear kinetic models for β-mannanase fermentation. Chemical and Biochemical Engineering Quarterly 2008, 22(2):195-201.
10. Mariano A.P., Costa C.B.B., Angelis D.F., Atala D.I.P., Maugeri Filho F., Wolf Maciel M.R., et al. Optimisation of a fermentation process for butanol production by particle swarm optimisation (PSO). Journal of Chemical Technology and Biotechnology 2010, 85:934-949.
11. Mariano A.P., Costa C.B.B., Angelis D.F., Atala D.I.P., Maugeri Filho F., Wolf Maciel M.R., et al. Optimization strategies based on sequential quadratic programming applied for a fermentation process for butanol production. Applied Biochemistry and Biotechnology 2009, 159:366-381.
12. Melo D.M.C., Costa C.B.B., Vasco de Toledo E.C., Santos M.M., Wolf Maciel M.R., Maciel Filho R. Evaluation of control algorithms for three-phase hydrogenation catalytic reactor. Chemical Engineering Journal 2008, 141:250-263.
13. Panda S., Padhy N.P. Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design. Applied Soft Computing 2008, 8:1418-1427.
14. Parsopoulos K.E., Vrahatis M.N. Recent approaches to global optimization problems through particle swarm optimization. Natural Computing 2002, 1:235-306.
15. Rezende M.C.A.F., Costa C.B.B., Costa A.C., Wolf Maciel M.R., Maciel Filho R. Optimization of a large scale industrial reactor by genetic algorithms. Chemical Engineering Science 2008, 63:330-341.
16. Rezende M.C.A.F., Costa A.C., Maciel Filho R. Control and optimization of a three phase industrial hydrogenation reactor. International Journal of Chemical Reactor Engineering 2004, 2:A21.
17. Shi Y., Eberhart R.C. A modified particle swarm optimizer. Proceedings of the IEEE international conference on evolutionary computation 1998, 69-73.
18. Trelea I.C. The particle swarm optimization algorithm: Convergence analysis and parameter selection. Information Processing Letters 2003, 85:317-325.
19. Vasco de Toledo E.C., Santana P.L., Wolf Maciel M.R., Maciel Filho R. Dynamic modelling of a three-phase catalytic slurry reactor. Chemical Engineering Science 2001, 56:6055-6061.
20. Zhang J., Xie L., Wang S. Particle swarm for the dynamic optimization of biochemical processes. Proceedings of the 16th European symposium on computer aided process engineering 2006, 497-502.