Multi-objective optimization of reverse osmosis desalination units using different adaptations of the non-dominated sorting genetic algorithm (NSGA)

Computers and Chemical Engineering

Volumn 29, Issue 9, 2005, Pages 1977-1995

  Guria, Chandan ^a   Bhattacharya, Prashant K ^b   Gupta, Santosh K ^b  

^a BIRLA INSTITUTE OF TECHNOLOGY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

Brackish water; Desalination; Elitist non dominated sorting genetic algorithm; Genetic algorithm; Jumping genes; Membranes; Multi objective optimization; Optimization; Reverse osmosis; Seawater

Indexed keywords

BINARY CODES; DECISION MAKING; DESALINATION; OPTIMIZATION; PROBLEM SOLVING; SEAWATER; SORTING;

BRACKISH WATER; ELITIST NON-DOMINATED SORTING GENETIC ALGORITHMS; JUMPING GENES; MULTI-OBJECTIVE OPTIMIZATION;

REVERSE OSMOSIS;

CHEMICAL ENGINEERING;

EID: 24144465698     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2005.05.002     Document Type: Article

References (54)

1. Y. Ayyash Performance of reverse osmosis membrane in Jeddah I plant Desalination 96 1994 215
2. V. Bhaskar, A.K. Ray, and S.K. Gupta Applications of multi-objective optimization in chemical engineering Reviews in Chemical Engineering 16 2000 1
3. Bhat, S. A., Saraf, D. N., & Gupta, S. K. (2005). Optimization of an industrial semi-batch nylon 6 reactor using the adapted jumping gene operator with genetic algorithm, in preparation.
4. D. Bhattacharyya, M.E. Williams, R.J. Ray, and S.B. McCray Reverse osmosis: design W.S.W. Ho K.K. Sirkar Membrane handbook 1992 Van Nostrand Reinhold New York
5. P.L.T. Brian Concentration polarization in reverse osmosis desalination with variable flux and incomplete salt rejection Industrial and Engineering Chemistry Fundamentals 4 1965 439
6. P.L.T. Brian Mass transport in reverse osmosis U. Merten Desalination by reverse osmosis 1966 MIT Press Cambridge, MA
7. C.A. Coello Coello, D.A. Van Veldhuizen, and G.B. Lamont Evolutionary algorithms for solving multi-objective problems 2002 Kluwer New York
8. K. Deb Optimization for engineering design: algorithms and examples 1995 Prentice Hall of India New Delhi
9. K. Deb Multi-objective optimization using evolutionary algorithms 2001 Wiley Chichester, UK
10. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan A fast and elitist multiobjective genetic algorithm: NSGA-II IEEE Transactions Evolutionary Computation 6 2002 182
11. P.E. Gill, W. Murray, and M.H. Wright Numerical linear algebra and optimization 1991 Addison-Wesley Reading, MA
12. A. Goicoechea, D.R. Hansen, and L. Duckstein Multiobjective decision analysis with engineering and business applications 1982 Wiley New York
13. D.E. Goldberg Genetic algorithms in search, optimization and machine learning 1989 Addison-Wesley Reading, MA
14. C. Guria, M. Verma, S.P. Mehrotra, and S.K. Gupta Multi-objective optimal synthesis and design of froth flotation circuits for mineral processing using the jumping gene adaptation of genetic algorithm Industrial and Engineering Chemistry Research 44 2005 2621
15. W.S.W. Ho K.K. Sirkar Membrane handbook 1992 Van Nostrand Reinhold New York
16. J.H. Holland Adaptation in natural and artificial systems 1975 University of Michigan Press Ann Arbor, MI
17. R. Kasat, D. Kunzru, D.N. Saraf, and S.K. Gupta Multi-objective optimization of industrial FCC units using elitist non-dominated sorting genetic algorithm Industrial and Engineering Chemistry Research 41 2002 4765
18. R.B. Kasat, and S.K. Gupta Multi-objective optimization of an industrial fluidized-bed catalytic cracking unit (FCCU) using genetic algorithm (GA) with the jumping genes operator Computers and Chemical Engineering 27 2003 1785
19. Khosla, D., Saraf, D. N., & Gupta, S. K. (2005). Multi-objective optimization of fuel oil blending using the jumping gene adaptation of genetic algorithm. Fuel Processing Technology, submitted for publication.
20. S. Kimura, and S. Sourirajan Concentration polarization effects in reverse osmosis using porous cellulose acetate membrane Industrial and Engineering Chemistry Fundamentals 7 1968 41
21. D.E. Knuth 3rd ed. The art of computer programming, seminumerical algorithms 2 1997 Addison Wesley Reading, MA
22. E.M. Lohman Operating report of the largest reverse osmosis desalting plant Desalination 96 1994 349
23. H.K. Lonsdale, U. Merten, and R.L. Riley Transport properties of cellulose acetate membranes Journal of Applied Polymer Science 9 1965 1341
24. F. Maskan, D.E. Wiley, L.P.M. Johnston, and D.J. Clements Optimal design of reverse osmosis module networks American Institute of Chemical Engineers Journal 46 2000 946
25. G. Mavrotas, and D. Diakoulaki A branch and bound algorithm for mixed zero-one multiple objective linear programming Eur. J. Op. Res. 107 1998 530
26. B. McKlintock The discovery and characterization of transposable elements The collected papers of Barbara McKlintock 1987 Garland New York
27. A.D. Nandasana, A.K. Ray, and S.K. Gupta Dynamic model of an industrial steam reformer and its use for multiobjective optimization Industrial and Engineering Chemistry Research 42 2003 4028
28. H. Ohya, H. Nakajima, K. Takagi, S. Kagawa, and Y. Negishi Analysis of reverse osmotic characteristics of B-9 hollow fiber module Desalination 21 1977 257
29. H. Ohya, and Y. Taniguchi An analysis of reverse osmotic characteristics of ROGA-4000 spiral-wound module Desalination 16 1975 359
30. J.R. Palmer An improved procedure for orthogonalising the search vectors in Rosenbrock's and Swann's direct search optimisation methods Computer Journal 12 1969 69
31. B. Parekh Reverse osmosis technology 1988 Marcel Dekker New York
32. R.H. Perry D.W. Green J.O. Malony Perry's chemical engineers' handbook 7th ed. 1997 McGraw-Hill New York
33. G.H. Rao, and K.K. Sirkar Explicit flux expressions in tubular reverse osmosis desalination Desalination 27 1978 99
34. R. Rautenbach Process design and optimization P.M. Bungay H.K. Lonsdale M.N. de Pinho Synthetic membranes: science, engineering and applications 1986 Kluwer New York
35. A.K. Ray, and S.K. Gupta Mathematical methods in chemical and environmental engineering 2004 Thomson Learning Singapore
36. H.H. Rosenbrock An automatic method for finding the greatest or least value of a function Computer Journal 3 1960 175
37. R. Sareen, and S.K. Gupta Multiobjective optimization of an industrial semibatch nylon 6 reactor Journal of Applied Polymer Science 58 1995 2357
38. M. Sekino Performance data analysis for hollow-fiber reverse-osmosis modules in seawater desalination plant Kagaku Kougaku Ronbunsyu 20 1994 574
39. T.K. Sherwood, P.L.T. Brian, and R.E. Fischer Desalination by reverse osmosis Industrial and Engineering Chemistry Fundamentals 6 1967 2
40. T.K. Sherwood, P.L.T. Brian, R.E. Fischer, and L. Dresner Salt concentration at phase boundaries in desalination by reverse osmosis Industrial and Engineering Chemistry Fundamentals 4 1965 113
41. G. Shock, and A. Miquel Mass transfer and pressure loss in spiral wound modules Desalination 64 1987 339
42. K.K. Sirkar, P.T. Dang, and G.P. Rao Approximate design equations for reverse osmosis desalination by spiral-wound modules Industrial and Engineering Chemistry Fundamentals 21 1982 517
43. M. Soltanieh, and W. Gill Review of reverse osmosis membranes and transport models Chemical Engineering Communication 12 1981 279
44. S. Sourirajan Reverse osmosis 1970 Academic New York
45. N. Srinivas, and K. Deb Multi-objective function optimization using nondominated sorting genetic algorithm Evolutionary Compututation 2 1995 221
46. M. Stanojevic, B. Lazarevic, and D. Radic Review of membrane contactors: designs and applications of different modules in industry FME Transactions 31 2003 91
47. L. Stryer Biochemistry 4th ed. 2000 W.H. Freeman New York
48. M. Taniguchi An analysis of reverse osmosis characteristics of ROGA spiral wound modules Desalination 25 1978 71
49. M. Taniguchi, and S. Kimura Estimation of transport parameters of RO membranes for seawater desalination American Institute of Chemical Engineers Journal 46 2005 1967
50. M. Taniguchi, M. Kurihara, and S. Kimura Behavior of a reverse osmosis plant adopting a brine conversion two-stage process and its computer simulation Journal of Membrane Science 183 2001 249
51. A. Tarafder, G.P. Rangaiah, and A.K. Ray Multi-objective optimization of an industrial styrene monomer manufacturing process Chemical Engineering Science 60 2005 347
52. D.E. Wiley, C.J.D. Fell, and A.G. Fane Optimization of membrane module design for brackish water desalination Desalination 52 1985 249
53. C.C. Yuen, Aatmeeyata, S.K. Gupta, and A.K. Ray Multi-objective optimization of membrane separation modules using genetic algorithm Journal of Membrane Science 176 2000 177
54. E. Zitzler, K. Deb, and L. Thiele Comparison of multiobjective evolutionary algorithms: empirical results Evolutionary Computation 8 2000 173