[1] Stadtherr, M. D., Rudd, D. F., “Systems study of the petro chemical industry”, Chem.
Eng. Sci., 31, 1019 (1976).
[2] Sophos, A., Rostein, E., Stephanopoulos, G., “Multi objective analysis in modeling the
petrochemical industry”, Chem. Eng. Sci., 35, 2415 (1980).
[3] Clark, P. A., Westerberg, A. W., “Optimization for de sign problems having more than
one objective”, Computers Chem. Eng., 7, 646 (1983).
[4] Grauer, M., “Multiple-objective decision analysis applied to chemical engineering”,
Computers Chem. Eng., 8 (5), 285 (1984).
[5] Grossmann, I. E., Drabban, R., Jain, R. K., “Incorporat ing toxicology in the
synthesis of industrial chemical com plexes”, Chem. Eng. Commun., 17, 151 (1982).
[6] Chang, C. T., Hwang, J. R., “A multiobjective program ming approach to waste
minimization in the utility sys tems of chemical processes”, Chem. Eng. Sci., 51 (16),
3951 (1996).
[7] Ciric, A. R., Huchette, S. G., “Multiobjective optimization approach to sensitivity
analysis: waste treatment costs in discrete process synthesis and optimization problems”,
Ind. Eng. Chem. Res., 32, 2636 (1993).
[8] Ciric, A. R., Jia, T., “Economic sensitivity analysis of waste treatment costs in
source reduction projects: Continuous optimization problems”, Computers Chem. Eng., 18
(6), 481 (1994).
[9] Azapagic, A., Clift, R., “The application of life cycle assess ment to process
optimization”, Computers Chem. Eng., 23, 1509 (1999).
[10] Steffens, M. A., Fraga, E. S., Bogle, I. D. L., “Multicriteria process synthesis for
generating sustainable and economic bioprocesses”, Computers Chem. Eng., 23, 1455 (1999).
[11] Dimkou, T. I., Papalexandri, K. P., “A parametric opti mization approach for
multiobjective engineering problems involving discrete decisions”, Computers Chem. Eng.,
22, S951 (1998).
[12] Pertsinidis, A., Grossmann, I. E., McRae, G. J., “Para metric optimization of MILP
programs and a framework for the parametric optimization of MINLPs”, Computers Chem. Eng.,
22, S205 (1998).
[13] Dantus, M. M., High, K. A., “Evaluation of waste mini mization alternatives under
uncertainty: a multiobjective optimization approach”, Computers Chem. Eng., 23, 1493
(1999).
[14] Deb, K., “Evolutionary algorithms for multi-criterion op timization in engineering
design”, In: Evolutionary Algo rithms in Engineering and Computer Science, Miettinen, K.,
Makela, M. M., Neittaanmaki, P., Periaux, J., ed., John Wiley & Sons, Ltd., Chichester, UK,
135－161 (1999).
[15] Coello, C. A., “A comprehensive survey of evolutionary based multi-objective
optimization techniques”, Knowl. In form. Syst., 1 (3), 269－308 (1999).
[16] Mitra, K., Kalyanmoy, D., Santosh, K. G., “Multi-objective dynamic optimization of an
industrial nylon 6 semibatch re actor using genetic algorithm”, J. Appl. Polymer Sci., 69
(1), 69 (1998).
[17] Goldberg, D. E., Genetic Algorithms in Search, Optimiza tion and Machine Learning,
Wesley Publishing Company, Addison (1989).
[18] Srinivas, N., Deb, K., “Multi-objective optimization using nondominated sorting in
genetic algorithms”, Evolut. Com put., 2 (3), 221 (1994).
[19] Syswerda, G., “A study of reproduction in generational and steady-state genetic
algorithms”, Foundations of Genetic Algorithms, Morgan Kaufmann, San Mateo (1991).
[20] Shi, L., “Study on process integration involving environ mental impact”, Ph. D.
Thesis, Chem. Eng. Dept., Dalian Univ. Of Technology, Dalian (1999). (in Chinese)
[21] Nishida, N., Ohtake, Y., “A method for solution of the bi criterion mixed integer
programming problems”, Comput ers Chem. Eng., 10 (2), 119 (1986). |
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