A grouping genetic algorithm for the multi-objective cell formation problem
In this research, we propose an efficient method to solve the multi-objective cell formation problem (CFP) partially adopting Falkenauer's grouping genetic algorithm (GGA). The objectives are the minimization of both the cell load variation and intercell flows considering the machines' cap...
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| Published in | International journal of production research Vol. 43; no. 4; pp. 829 - 853 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Taylor & Francis Group
15.02.2005
Washington, DC Taylor & Francis Taylor & Francis LLC |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0020-7543 1366-588X |
| DOI | 10.1080/00207540512331311859 |
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| Abstract | In this research, we propose an efficient method to solve the multi-objective cell formation problem (CFP) partially adopting Falkenauer's grouping genetic algorithm (GGA). The objectives are the minimization of both the cell load variation and intercell flows considering the machines' capacities, part volumes and part processing times on the machines. We relax the cell size constraints and solve the CFP without predetermination of the number of cells, which is usually difficult to predict in a real-world CFP design. We also make some effort to improve the efficiency of our algorithm with respect to initialization of the population, fitness valuation, and keeping crossover operator from cloning. Numerical examples are tested and comparisons are made with general genetic algorithms (GAs). The result shows that our method is effective and flexible in both grouping machines into cells and deciding on the number of cells for the optimal solution. |
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| AbstractList | In this research, we propose an efficient method to solve the multi-objective cell formation problem (CFP) partially adopting Falkenauer's grouping genetic algorithm (GGA). The objectives are the minimization of both the cell load variation and intercell flows considering the machines' capacities, part volumes and part processing times on the machines. We relax the cell size constraints and solve the CFP without predetermination of the number of cells, which is usually difficult to predict in a real-world CFP design. We also make some effort to improve the efficiency of our algorithm with respect to initialization of the population, fitness valuation, and keeping crossover operator from cloning. Numerical examples are tested and comparisons are made with general genetic algorithms (GAs). The result shows that our method is effective and flexible in both grouping machines into cells and deciding on the number of cells for the optimal solution. In this research, we propose an efficient method to solve the multi-objective cell formation problem (CFP) partially adopting Falkenauer's grouping genetic algorithm (GGA). The objectives are the minimization of both the cell load variation and intercell flows considering the machines' capacities, part volumes and part processing times on the machines. We relax the cell size constraints and solve the CFP without predetermination of the number of cells, which is usually difficult to predict in a real-world CFP design. We also make some effort to improve the efficiency of our algorithm with respect to initialization of the population, fitness valuation, and keeping crossover operator from cloning. Numerical examples are tested and comparisons are made with general genetic algorithms (GAs). The result shows that our method is effective and flexible in both grouping machines into cells and deciding on the number of cells for the optimal solution. [PUBLICATION ABSTRACT] |
| Author | Yasuda, K. Hu, L. Yin, Y. |
| Author_xml | – sequence: 1 givenname: K. surname: Yasuda fullname: Yasuda, K. organization: Industrial and Management Science , Graduate School of Economics and Management, Tohoku University – sequence: 2 givenname: L. surname: Hu fullname: Hu, L. organization: Industrial and Management Science , Graduate School of Economics and Management, Tohoku University – sequence: 3 givenname: Y. surname: Yin fullname: Yin, Y. organization: Industrial and Management Science , Department of Public Policy and Social Studies, Yamagata University |
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| Cites_doi | 10.1080/00207549608904943 10.1080/00207548708919861 10.1080/09511929508944633 10.1007/s001700070057 10.1080/002075400189473 10.1080/00207549408956933 10.1080/095372897234687 10.1016/0360-8352(92)90022-C 10.1080/00207548208947754 10.1080/002075400189068 10.1109/ICEC.1994.349995 10.1080/00207547508943029 10.1016/S0360-8352(02)00039-6 10.1016/S0925-5273(98)00167-4 10.1007/BF00118082 10.1016/0272-6963(91)90035-V 10.1080/00207548008919662 10.1080/00207549408957061 10.1080/00207540210131851 10.1080/00207549608904949 10.1007/BF01471178 10.1080/00207549608904913 10.1080/00207549308956908 10.1109/4235.850651 10.1080/002075498193345 10.1080/00207549508904834 10.1080/07408179608966253 10.1080/00207549008942689 10.1016/S0360-8352(00)00060-7 10.1080/00207548708919880 10.1080/002075400189158 10.1080/00207548908942606 10.1080/00207540110101639 10.1016/0377-2217(86)90032-9 10.1080/00207549608904970 10.1080/00207547308929988 10.1080/002075498193985 10.1080/002075497195966 10.1080/00207549108930121 10.1007/s001700170085 10.1080/00207549008942791 10.1016/0278-6125(94)90005-1 10.1016/S0360-8352(00)00074-7 10.1080/00207540050031869 10.1049/tpe.1963.0114 10.1016/0360-8352(96)00044-7 10.1016/0377-2217(93)90020-N 10.1002/9780470172476 10.1080/002075499191670 10.1080/00207549108930083 10.1080/00207549008942706 10.1049/tpe.1972.0006 10.1016/S0377-2217(98)00057-5 10.1016/0377-2217(92)90158-6 10.1080/00207540110068781 10.1007/978-3-662-02830-8 10.1016/S0377-2217(00)00253-8 10.1016/S0378-4754(99)00122-6 10.1016/S0360-8352(99)00138-2 10.1080/00207548608919798 10.1007/BF01477600 10.1080/002075498192841 10.1080/00207549408957064 10.1016/S0925-5273(01)00164-5 10.1007/3-540-45365-2_10 10.1080/00207549208942961 10.1016/S0951-5240(97)00001-3 10.1016/S0360-8352(02)00195-X |
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| Keywords | Cell formation Grouping genetic algorithm Genetic algorithm Optimal solution Multiobjective programming Cellular manufacturing Comparison test Grouping Multi-objective optimization Optimization Machine part |
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| References | Askin RG (bib4) 1991; 29 Srinivasan G (bib61) 1990; 28 Su CT (bib63) 1998; 36 Kamal S (bib31) 1996; 34 Zhao CW (bib72) 2000; 38 Gupta YP (bib24) 1995; 8 Kusiak A (bib38) 1987; 25 bib30 Kaparthi S (bib32) 1992; 30 Gravel M (bib21) 1998; 109 Rajagopalan R (bib56) 1975; 13 Mcauley J (bib44) 1972; 51 Moon YB (bib50) 1992; 3 Yin Y (bib71) 2002; 40 Srinivasan G (bib59) 1994; 32 Srinivasan G (bib60) 1991; 29 Moon C (bib48) 1999; 60 Burbidge JL (bib10) 1963; 42 Chandrasekharan MP (bib13) 1987; 25 Kaparthi S (bib33) 1993; 69 Adil GK (bib1) 1996; 34 Arzi Y (bib3) 2001; 134 bib45 Irani SA (bib28) 1999 Lee-Post A (bib40) 2000; 38 Wemmerlov U (bib68) 1997; 35 Nair GJ (bib52) 1998; 36 Baykasoglu A (bib6) 2000; 38 Rao HA (bib57) 1999; 37 Hwang H (bib27) 1996; 30 Mak KL (bib42) 2000; 16 Malave CO (bib43) 1991; 2 Brown EC (bib9) 2001; 39 King JR (bib34) 1980; 18 Zolfaghari S (bib73) 2002; 40 Boctor FF (bib8) 1996; 34 Su CT (bib62) 1996; 3 Guerrero F (bib22) 2002; 42 Venugopal V (bib65) 1992; 63 Falkenauer E (bib19) 1998 Logendran R (bib41) 1994; 32 Cheng CH (bib16) 1998; 36 Carrie AS (bib11) 1973; 11 Asokan P (bib5) 2001; 18 Offodile FO (bib53) 1994; 13 Michalewicz Z (bib46) 1992 Dimopoulos C (bib18) 2000; 4 Gupta YP (bib25) 1996; 34 Wicks EM (bib69) 1999; 31 De Lit P (bib17) 2000; 51 Sridhar J (bib58) 1993; 31 Alsultan KS (bib2) 1997; 8 Pierreval H (bib55) 2003; 44 Yasuda K (bib70) 2001; 39 Joines JA (bib29) 1996; 28 Lee MK (bib39) 1997; 10 King JR (bib35) 1982; 20 Onwubolu GC (bib54) 2001; 39 Kumar CS (bib36) 1990; 28 Venugopal V (bib66) 1992; 22 Billo RE (bib7) 1996; 7 Miltenburg J (bib47) 1991; 10 Kumar KR (bib37) 1986; 24 Mukhopadyay SK (bib51) 2000; 38 Moon C (bib49) 1999; 36 Chandrasekharan MP (bib14) 1989; 27 Goldberg DE (bib20) 1989 Gupta T (bib23) 1990; 28 Chandrasekharan MP (bib12) 1986; 24 Uddin MK (bib64) 2002; 76 Holland JH (bib26) 1975 Chen CL (bib15) 1995; 33 Venugopal V (bib67) 1994; 32 |
| References_xml | – volume: 34 start-page: 919 year: 1996 ident: bib31 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549608904943 – volume: 25 start-page: 561 year: 1987 ident: bib38 publication-title: Int. J. Prod. Res. doi: 10.1080/00207548708919861 – volume: 8 start-page: 92 year: 1995 ident: bib24 publication-title: Int. J. Comp. Integ. Manuf. doi: 10.1080/09511929508944633 – volume: 16 start-page: 491 year: 2000 ident: bib42 publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s001700070057 – volume-title: Adaptation in Natural and Artificial Systems year: 1975 ident: bib26 – volume: 38 start-page: 385 year: 2000 ident: bib72 publication-title: Int. J. Prod. Res. doi: 10.1080/002075400189473 – volume: 32 start-page: 273 year: 1994 ident: bib41 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549408956933 – volume: 31 start-page: 11 year: 1999 ident: bib69 publication-title: IIE Transactions – volume: 8 start-page: 788 year: 1997 ident: bib2 publication-title: Prod. Plan.Con. doi: 10.1080/095372897234687 – volume: 22 start-page: 469 year: 1992 ident: bib66 publication-title: Comp. Indus. Engin. doi: 10.1016/0360-8352(92)90022-C – volume: 20 start-page: 117 year: 1982 ident: bib35 publication-title: Int. J. Prod. Res. doi: 10.1080/00207548208947754 – volume: 38 start-page: 1133 year: 2000 ident: bib6 publication-title: Int. J. Prod. Res. doi: 10.1080/002075400189068 – ident: bib30 doi: 10.1109/ICEC.1994.349995 – volume: 13 start-page: 567 year: 1975 ident: bib56 publication-title: Int. J. Prod. Res. doi: 10.1080/00207547508943029 – volume-title: Genetic Algorithms in Search, Optimization, and Machine Learning year: 1989 ident: bib20 – volume: 42 start-page: 377 year: 2002 ident: bib22 publication-title: Comp. Indus. Engin. doi: 10.1016/S0360-8352(02)00039-6 – volume: 60 start-page: 421 year: 1999 ident: bib48 publication-title: Int. J. Prod. Econ. doi: 10.1016/S0925-5273(98)00167-4 – volume: 7 start-page: 229 year: 1996 ident: bib7 publication-title: J. Intell. Manuf. doi: 10.1007/BF00118082 – volume: 10 start-page: 44 year: 1991 ident: bib47 publication-title: J. Oper. Manage. doi: 10.1016/0272-6963(91)90035-V – volume: 18 start-page: 213 year: 1980 ident: bib34 publication-title: Int. J. Prod. Res. doi: 10.1080/00207548008919662 – volume: 32 start-page: 2105 year: 1994 ident: bib67 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549408957061 – volume: 40 start-page: 2141 year: 2002 ident: bib73 publication-title: Int. J. Prod. Res. doi: 10.1080/00207540210131851 – volume-title: Wiley year: 1998 ident: bib19 – volume: 34 start-page: 1045 year: 1996 ident: bib8 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549608904949 – volume: 2 start-page: 305 year: 1991 ident: bib43 publication-title: J. Intell. Manuf. doi: 10.1007/BF01471178 – volume: 34 start-page: 447 year: 1996 ident: bib25 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549608904913 – volume: 31 start-page: 2927 year: 1993 ident: bib58 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549308956908 – volume: 3 start-page: 114 year: 1996 ident: bib62 publication-title: Int. J. Ind. Engin. – volume: 4 start-page: 93 year: 2000 ident: bib18 publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.850651 – volume: 36 start-page: 1325 year: 1998 ident: bib16 publication-title: Int. J. Prod. Res. doi: 10.1080/002075498193345 – volume: 33 start-page: 2601 year: 1995 ident: bib15 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549508904834 – volume: 28 start-page: 69 year: 1996 ident: bib29 publication-title: IIE Transactions doi: 10.1080/07408179608966253 – volume: 28 start-page: 145 year: 1990 ident: bib61 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549008942689 – volume: 39 start-page: 1 year: 2001 ident: bib70 publication-title: Comp. Ind. Engin. doi: 10.1016/S0360-8352(00)00060-7 – volume: 25 start-page: 835 year: 1987 ident: bib13 publication-title: Int. J. Prod. Res. doi: 10.1080/00207548708919880 – volume: 38 start-page: 793 year: 2000 ident: bib40 publication-title: I. J. Prod. Res. doi: 10.1080/002075400189158 – volume: 27 start-page: 1035 year: 1989 ident: bib14 publication-title: Int. J. Prod. Res. doi: 10.1080/00207548908942606 – volume: 40 start-page: 885 year: 2002 ident: bib71 publication-title: Int. J. Prod. Res. doi: 10.1080/00207540110101639 – volume: 24 start-page: 387 year: 1986 ident: bib37 publication-title: Euro. J. Oper. Res. doi: 10.1016/0377-2217(86)90032-9 – volume: 34 start-page: 1361 year: 1996 ident: bib1 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549608904970 – volume: 11 start-page: 399 year: 1973 ident: bib11 publication-title: Int. J. Prod. Res. doi: 10.1080/00207547308929988 – volume: 36 start-page: 157 year: 1998 ident: bib52 publication-title: Int. J. Prod. Res. doi: 10.1080/002075498193985 – volume: 35 start-page: 29 year: 1997 ident: bib68 publication-title: Int. J. Prod. Res. doi: 10.1080/002075497195966 – volume: 29 start-page: 1081 year: 1991 ident: bib4 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549108930121 – volume: 18 start-page: 140 year: 2001 ident: bib5 publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s001700170085 – volume: 28 start-page: 1247 year: 1990 ident: bib23 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549008942791 – volume: 13 start-page: 196 year: 1994 ident: bib53 publication-title: J. Manuf. Syst. doi: 10.1016/0278-6125(94)90005-1 – volume: 39 start-page: 125 year: 2001 ident: bib54 publication-title: Comp. Ind. Engin. doi: 10.1016/S0360-8352(00)00074-7 – volume: 38 start-page: 2459 year: 2000 ident: bib51 publication-title: Int. J. Prod. Res. doi: 10.1080/00207540050031869 – volume: 42 start-page: 742 year: 1963 ident: bib10 publication-title: The Production Engineer doi: 10.1049/tpe.1963.0114 – volume: 30 start-page: 941 year: 1996 ident: bib27 publication-title: Comp. Indust. Engin. doi: 10.1016/0360-8352(96)00044-7 – volume: 69 start-page: 342 year: 1993 ident: bib33 publication-title: Euro. J. Oper. Res. doi: 10.1016/0377-2217(93)90020-N – volume-title: Handbook of Cellular Manufacturing Systems year: 1999 ident: bib28 doi: 10.1002/9780470172476 – volume: 37 start-page: 557 year: 1999 ident: bib57 publication-title: Int. J. Prod. Res. doi: 10.1080/002075499191670 – volume: 29 start-page: 463 year: 1991 ident: bib60 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549108930083 – volume: 28 start-page: 233 year: 1990 ident: bib36 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549008942706 – volume: 51 start-page: 53 year: 1972 ident: bib44 publication-title: Prod. Engin. doi: 10.1049/tpe.1972.0006 – volume: 109 start-page: 286 year: 1998 ident: bib21 publication-title: Euro. J. Oper. Res. doi: 10.1016/S0377-2217(98)00057-5 – volume: 63 start-page: 409 year: 1992 ident: bib65 publication-title: Euro. J. Oper. Res. doi: 10.1016/0377-2217(92)90158-6 – volume: 39 start-page: 3651 year: 2001 ident: bib9 publication-title: Int. J. Prod. Res. doi: 10.1080/00207540110068781 – volume-title: Genetic Algorithms + Data Structures = Evolution Programs year: 1992 ident: bib46 doi: 10.1007/978-3-662-02830-8 – volume: 134 start-page: 346 year: 2001 ident: bib3 publication-title: European J. Oper. Res. doi: 10.1016/S0377-2217(00)00253-8 – volume: 51 start-page: 257 year: 2000 ident: bib17 publication-title: Math. Comp. Simul. doi: 10.1016/S0378-4754(99)00122-6 – volume: 36 start-page: 379 year: 1999 ident: bib49 publication-title: Comp. Indust. Engin. doi: 10.1016/S0360-8352(99)00138-2 – volume: 24 start-page: 1221 year: 1986 ident: bib12 publication-title: Int. J. Prod. Res. doi: 10.1080/00207548608919798 – volume: 3 start-page: 173 year: 1992 ident: bib50 publication-title: J. Intell. Manuf. doi: 10.1007/BF01477600 – volume: 36 start-page: 2185 year: 1998 ident: bib63 publication-title: Int. J. Prod. Res. doi: 10.1080/002075498192841 – volume: 32 start-page: 2149 year: 1994 ident: bib59 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549408957064 – volume: 76 start-page: 219 year: 2002 ident: bib64 publication-title: Int. J. Prod. Econ. doi: 10.1016/S0925-5273(01)00164-5 – ident: bib45 doi: 10.1007/3-540-45365-2_10 – volume: 30 start-page: 1353 year: 1992 ident: bib32 publication-title: Int. J. Prod. Res. doi: 10.1080/00207549208942961 – volume: 10 start-page: 93 year: 1997 ident: bib39 publication-title: Comp. Integ. Manuf. Syst. doi: 10.1016/S0951-5240(97)00001-3 – volume: 44 start-page: 339 year: 2003 ident: bib55 publication-title: Comp. Ind. Engin. doi: 10.1016/S0360-8352(02)00195-X |
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| Snippet | In this research, we propose an efficient method to solve the multi-objective cell formation problem (CFP) partially adopting Falkenauer's grouping genetic... |
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| SubjectTerms | Applied sciences Cell formation Cellular manufacturing Design optimization Exact sciences and technology Flows in networks. Combinatorial problems Genetic algorithms Grouping genetic algorithm Multi-objective optimization Operational research and scientific management Operational research. Management science Studies |
| Title | A grouping genetic algorithm for the multi-objective cell formation problem |
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