메뉴 건너뛰기




Volumn , Issue , 2008, Pages 91-129

Multi-objective genetic algorithm and simulated annealing with the jumping gene adaptations

Author keywords

Genetic algorithm; Jumping gene; Simulated annealing

Indexed keywords


EID: 85116575729     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1142/9789812836526_0004     Document Type: Chapter
Times cited : (7)

References (34)
  • 1
    • 85116577920 scopus 로고    scopus 로고
    • Jumping gene adaptations (saJG and sJG) of the elitist non-dominated sorting genetic algorithm (NSGA-II) and their use in multi-objective optimal design of shell and tube heat exchangers
    • (submitted)
    • Agarwal, A. and Gupta, S. K. (2007a). Jumping gene adaptations (saJG and sJG) of the elitist non-dominated sorting genetic algorithm (NSGA-II) and their use in multi-objective optimal design of shell and tube heat exchangers, Chem. Eng. Res. Des., (submitted).
    • (2007) Chem. Eng. Res. Des.
    • Agarwal, A.1    Gupta, S.K.2
  • 2
    • 85116581001 scopus 로고    scopus 로고
    • Multi-objective optimal design of heat exchanger networks using new adaptations of the elitist non-dominated sorting genetic algorithm
    • (in press)
    • Agarwal, A. and Gupta, S. K. (2007b). Multi-objective optimal design of heat exchanger networks using new adaptations of the elitist non-dominated sorting genetic algorithm, Ind. Eng. Chem. Res., (in press).
    • (2007) Ind. Eng. Chem. Res.
    • Agarwal, A.1    Gupta, S.K.2
  • 4
    • 33751304725 scopus 로고    scopus 로고
    • On-line optimizing control of bulk free radical polymerization reactors under temporary loss of temperature regulation: Experimental study on a 1-L batch reactor
    • Bhat, S. A., Gupta, S., Saraf, D. N. and Gupta, S. K. (2006). On-line optimizing control of bulk free radical polymerization reactors under temporary loss of temperature regulation: experimental study on a 1-L batch reactor, Ind. Eng. Chem. Res., 45, pp. 7530-7539.
    • (2006) Ind. Eng. Chem. Res. , vol.45 , pp. 7530-7539
    • Bhat, S.A.1    Gupta, S.2    Saraf, D.N.3    Gupta, S.K.4
  • 7
    • 27844516612 scopus 로고    scopus 로고
    • A jumping gene algorithm for multiobjective resource management in wideband CDMA systems
    • Chan, T. M., Man, K. F., Tang, K. S. and Kwong, S. (2005a). A jumping gene algorithm for multiobjective resource management in wideband CDMA systems, Comput. J., 48, pp. 749-768.
    • (2005) Comput. J. , vol.48 , pp. 749-768
    • Chan, T.M.1    Man, K.F.2    Tang, K.S.3    Kwong, S.4
  • 13
    • 24144465698 scopus 로고    scopus 로고
    • Multi-objective optimization of reverse osmosis desalination units using different adaptations of the non-dominated sorting genetic algorithm (NSGA)
    • Guria, C., Bhattacharya, P. K. and Gupta, S. K. (2005a). Multi-objective optimization of reverse osmosis desalination units using different adaptations of the non-dominated sorting genetic algorithm (NSGA), Comput. Chem. Eng., 29, pp. 1977-1995.
    • (2005) Comput. Chem. Eng. , vol.29 , pp. 1977-1995
    • Guria, C.1    Bhattacharya, P.K.2    Gupta, S.K.3
  • 14
    • 18144384810 scopus 로고    scopus 로고
    • Multi-objective optimal synthesis of froth-floatation circuits for mineral processing using the jumping gene adaptation of genetic algorithm
    • Guria, C., Verma, M., Mehrotra, S. P. and Gupta, S. K. (2005b). Multi-objective optimal synthesis of froth-floatation circuits for mineral processing using the jumping gene adaptation of genetic algorithm, Ind. Eng. Chem. Res., 44, pp. 2621-2633.
    • (2005) Ind. Eng. Chem. Res. , vol.44 , pp. 2621-2633
    • Guria, C.1    Verma, M.2    Mehrotra, S.P.3    Gupta, S.K.4
  • 16
    • 0242390999 scopus 로고    scopus 로고
    • Multiobjective optimization of an industrial fluidized-bed catalytic cracking unit (FCCU) using genetic algorithm with the jumping gene operator
    • Kasat, R. B. and Gupta, S. K. (2003). Multiobjective optimization of an industrial fluidized-bed catalytic cracking unit (FCCU) using genetic algorithm with the jumping gene operator, Comput. Chem. Eng., 27, pp. 1785-1800.
    • (2003) Comput. Chem. Eng. , vol.27 , pp. 1785-1800
    • Kasat, R.B.1    Gupta, S.K.2
  • 17
    • 26444479778 scopus 로고
    • Optimization with simulated annealing
    • Kirpatrick, S., Gelatt, C. D. and Vecchi, M. P. (1983). Optimization with simulated annealing, Science, 220, pp. 671-680.
    • (1983) Science , vol.220 , pp. 671-680
    • Kirpatrick, S.1    Gelatt, C.D.2    Vecchi, M.P.3
  • 18
    • 0034199912 scopus 로고    scopus 로고
    • Approximating the non-dominated front using the Pareto archived evolution strategy
    • Knowles, J. D. and Corne, D. W. (2000). Approximating the non-dominated front using the Pareto archived evolution strategy, Evol. Comput., 8, pp. 149-172.
    • (2000) Evol. Comput. , vol.8 , pp. 149-172
    • Knowles, J.D.1    Corne, D.W.2
  • 19
    • 0020542226 scopus 로고
    • The pinch design method for heat exchanger network
    • Linnhoff, B. and Hindmarsh, E. (1983). The pinch design method for heat exchanger network, Chem. Eng. Sci., 38, pp. 745-763.
    • (1983) Chem. Eng. Sci. , vol.38 , pp. 745-763
    • Linnhoff, B.1    Hindmarsh, E.2
  • 21
    • 0003822773 scopus 로고
    • The discovery and characterization of transposable elements
    • Garland, New York, USA
    • McClintock, B. (1987). The discovery and characterization of transposable elements. In The Collected Papers of Barbara McClintock, Garland, New York, USA.
    • (1987) The Collected Papers of Barbara McClintock
    • McClintock, B.1
  • 23
    • 0032486549 scopus 로고    scopus 로고
    • Multiobjective dynamic optimization of an industrial nylon 6 semibatch reactor using genetic algorithm
    • Mitra, K., Deb, K. and Gupta, S. K. (1998). Multiobjective dynamic optimization of an industrial nylon 6 semibatch reactor using genetic algorithm, J. Appl. Polym. Sci., 69, pp. 69-87.
    • (1998) J. Appl. Polym. Sci. , vol.69 , pp. 69-87
    • Mitra, K.1    Deb, K.2    Gupta, S.K.3
  • 24
    • 85116572127 scopus 로고    scopus 로고
    • Multi-objective optimization of an industrial nylon-6 semi batch reactor using the a-jumping gene adaptations of genetic algorithm and simulated annealing
    • in press
    • Ramteke, M. and Gupta, S. K. (2007). Multi-objective optimization of an industrial nylon-6 semi batch reactor using the a-jumping gene adaptations of genetic algorithm and simulated annealing, Poly. Eng. Sci., in press.
    • (2007) Poly. Eng. Sci.
    • Ramteke, M.1    Gupta, S.K.2
  • 25
    • 33750291345 scopus 로고    scopus 로고
    • Real-coding jumping gene genetic algorithm (RJGGA) for multi-objective optimization
    • Ripon, K. S. N., Kwong, S. and Man, K. F. (2007). Real-coding jumping gene genetic algorithm (RJGGA) for multi-objective optimization, Inf. Sci., 177, pp. 632-654.
    • (2007) Inf. Sci. , vol.177 , pp. 632-654
    • Ripon, K.S.N.1    Kwong, S.2    Man, K.F.3
  • 27
    • 34047158596 scopus 로고    scopus 로고
    • Multi-objective optimization of the dynamic operation of an industrial steam reformer using the jumping gene adaptations of simulated annealing
    • Sankararao, B. and Gupta, S. K. (2006). Multi-objective optimization of the dynamic operation of an industrial steam reformer using the jumping gene adaptations of simulated annealing, Asia-Pac. J. Chem. Eng., 1, pp. 21-31.
    • (2006) Asia-Pac. J. Chem. Eng. , vol.1 , pp. 21-31
    • Sankararao, B.1    Gupta, S.K.2
  • 28
    • 34250008373 scopus 로고    scopus 로고
    • Multi-objective optimization of an industrial fluidized catalytic cracking unit (FCCU) using two jumping gene adaptations of simulated annealing
    • Sankararao, B. and Gupta, S. K. (2007a). Multi-objective optimization of an industrial fluidized catalytic cracking unit (FCCU) using two jumping gene adaptations of simulated annealing, Comput. Chem. Eng., 31, pp. 1496-1515.
    • (2007) Comput. Chem. Eng. , vol.31 , pp. 1496-1515
    • Sankararao, B.1    Gupta, S.K.2
  • 29
    • 34250011751 scopus 로고    scopus 로고
    • Multi-objective optimization of pressure swing adsorbers (PSAs) for air separation
    • Sankararao, B. and Gupta, S. K. (2007b). Multi-objective optimization of pressure swing adsorbers (PSAs) for air separation, Ind. Eng. Chem. Res., 46, pp. 3751-3765.
    • (2007) Ind. Eng. Chem. Res. , vol.46 , pp. 3751-3765
    • Sankararao, B.1    Gupta, S.K.2
  • 30
    • 0005871803 scopus 로고    scopus 로고
    • Transposition vs. crossover: An empirical study
    • Morgan Kaufmann, Orlando, Florida
    • Simoes A. B. and Costa, E. (1999a). Transposition vs. crossover: an empirical study, Proc. of GECCO-99, Morgan Kaufmann, Orlando, Florida, pp. 612-619.
    • (1999) Proc. of GECCO-99 , pp. 612-619
    • Simoes, A.B.1    Costa, E.2
  • 31
    • 3042522342 scopus 로고    scopus 로고
    • Transposition: A biologically inspired mechanism to use with genetic algorithm
    • Springer Verlag, Portorez, Slovenia
    • th ICANNGA99, Springer Verlag, Portorez, Slovenia, pp. 178-186.
    • (1999) th ICANNGA99 , pp. 178-186
    • Simoes, A.B.1    Costa, E.2
  • 32
    • 0034479299 scopus 로고    scopus 로고
    • A simulated annealing algorithm for multiobjective optimization
    • Suppapitnarm, A., Seffen, K. A., Parks, G. T. and Clarkson, P. J. (2000). A simulated annealing algorithm for multiobjective optimization, Eng. Opt., 33, pp. 59-85.
    • (2000) Eng. Opt. , vol.33 , pp. 59-85
    • Suppapitnarm, A.1    Seffen, K.A.2    Parks, G.T.3    Clarkson, P.J.4
  • 33
    • 0004155427 scopus 로고    scopus 로고
    • th ed.), W. H. Freeman, New York, USA
    • th ed.), W. H. Freeman, New York, USA.
    • (2000) Biochemistry
    • Stryer, L.1
  • 34
    • 0032685734 scopus 로고    scopus 로고
    • Evolutionary programming made faster
    • Yao, X., Liu, Y. and Lin, G. (1999). Evolutionary programming made faster, IEEE Trans. Evol. Comput., 3, pp. 82-102.
    • (1999) IEEE Trans. Evol. Comput. , vol.3 , pp. 82-102
    • Yao, X.1    Liu, Y.2    Lin, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.