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Original Articles

Multi-objective optimization of manufacturing cell design

Pages 4855-4875 | Received 01 Feb 2006, Published online: 22 Feb 2007

References

  • Banzhaf , W , Nordin , P , Keller , RE and Francone , FD . 1998 . Genetic Programming: An Introduction , San Francisco : Morgan Kaufman .
  • Boctor , FF . 1996 . The minimum cost machine–part cell formation problem . Int. J. Prod. Res. , 34 : 1045 – 1063 .
  • Burbidge , JL . 1975 . The Introduction of Group Technology , New York : Wiley .
  • Deb , K . 2001 . Multi-objective Optimization Using Evolutionary Algorithms , New York : Wiley .
  • Deb , K , Pratap , A , Agarwal , S and Meyarivan , T . 2002 . A fast and elitist multiobjective genetic algorithm: NSGA—II . IEEE Trans. Evol. Comput. , 6 : 182 – 197 .
  • Dimopoulos , C . 2004 . “ A review of evolutionary multiobjective optimization applications in the area of production research ” . In in Congress on Evolutionary Computation (CEC’04) 1487 – 1494 .
  • Dimopoulos , C . A Genetic Programming methodology for the solution of the multiobjective cell-formation problem . 8th Joint Conference on Information Sciences .
  • Dimopoulos , C . A novel approach for the solution of the multiobjective cell-formation problem . 18th International Conference on Production Research .
  • Dimopoulos , C and Mort , N . Solving cell-formation problems under alternative quality criteria and constraints with a genetic programming-based hierarchical clustering algorithm . 6th International Conference on Control, Automation, Robotics and Vision . pp. 3445 – 3446 .
  • Dimopoulos , C and Mort , N . 2001 . A hierarchical clustering methodology based on genetic programming for the solution of simple cell-formation problems . Int. J. Prod. Res. , 39 : 1 – 19 .
  • Dimopoulos , C and Mort , N . 2004 . Evolving knowledge for the solution of clustering problems in cellular manufacturing . Int. J. Prod. Res. , 42 : 4119 – 4133 .
  • Dimopoulos , C and Zalzala , AMS . 2000 . Recent developments in evolutionary computation for manufacturing optimisation: problems, solutions and comparisons . IEEE Trans. Evol. Comput. , 4 : 93 – 113 .
  • Dimopoulos , C and Zalzala , AMS . 2001 . Investigating the use of genetic programming for a classic one-machine scheduling problem . Adv. Engng. Softw. , 32 : 489 – 498 .
  • Ehrgott , M and Gandibleux , X . 2000 . A survey and annotated bibliography of multicriteria combinatorial optimization . OR Spektrum , 22 : 425 – 460 .
  • Fogel , LJ , Owens , AJ and Walsch , MJ . 1966 . Artificial Intelligence Through Simulated Evolution , New York : Wiley .
  • Fonseca , CM and Fleming , PJ . Genetic algorithms for multiobjective optimization: formulation, discussion and generalization . 5th International Conference on Genetic Algorithms and their Applications . pp. 416 – 423 .
  • Goldberg , DE . 1989 . Genetic Algorithms in Search, Optimisation and Machine Learning , Reading, MA : Addison-Wesley .
  • Gravel , M , Nsakanda , AL and Price , W . 1998 . Efficient solutions to the cell-formation problem with multiple routings via a double-loop genetic algorithm . Eur. J. Oper. Res. , 109 : 286 – 298 .
  • Gupta , Y , Gupta , M , Kumar , A and Sundaram , C . 1996 . A genetic algorithm-based approach to cell-composition and layout design problems . Int. J. Prod. Res. , 34 : 447 – 482 .
  • Ho , Y-C and Moodie , CL . 1996 . Solving cell formation problems in a manufacturing environment with flexible processing and routing capabilities . Int. J. Prod. Res. , 34 : 2901 – 2923 .
  • Holland , JH . 1975 . Adaptation in Natural and Artificial Systems , Ann Arbor : University of Michigan Press .
  • Horn , J and Nafpliotis , N . Multiobjective optimization using the Niched Pareto Genetic Algorithm , IlliGAl Report 93005 . University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, 1993
  • Hsu , C-M and Su , C-T . 1998 . Multi-objective machine–component grouping in cellular manufacturing: a genetic algorithm . Prod. Plann. Contr. , 9 : 155 – 166 .
  • Koza , JR . 1992 . Genetic Programming: On the Programming of Computers by Means of Natural Selection , Cambridge, MA : MIT Press .
  • Kusiak , A . 1990 . Intelligent Manufacturing Systems , NJ : Prentice Hall: Englewood Cliffs .
  • Lee , H and Garcia-Diaz , A . 1993 . A network flow approach to solve clustering problems . Int. J. Prod. Res. , 31 : 603 – 612 .
  • Mansouri , SA , Moattar Husseini , SM and Newman , ST . 2000 . A review of the modern approaches to multi-criteria cell design . Int. J. Prod. Res. , 38 : 1201 – 1218 .
  • Mcauley , J . 1972 . Machine grouping for efficient production . Prod. Engineer. , 51 : 53 – 57 .
  • Rechenberg , I . 1973 . Evolutionsstrategie: Optimierung technischer Systeme nach Prinzipien derbiologischen Evolution , Stuttgart, , Germany : Frommann-Holzboog .
  • Schaffer , JD . 1984 . “ Multiple objective optimization with vector evaluated genetic algorithms ” . In PhD thesis , Vanderbilt University .
  • Selim , MH , Askin , RG and Vakharia , AJ . 1998 . Cell formation in group technology: review, evaluation and directions for future research . Comput. Ind. Engng. , 34 : 3 – 20 .
  • Solimanpur , M , Vrat , P and Shankar , R . 2004 . A multi-objective genetic algorithm approach to the design of cellular manufacturing systems . Int. J. Prod. Res. , 42 : 1419 – 1441 .
  • Srinivas , N and Deb , K . 1994 . Multiobjective optimization using nondominated sorting in genetic algorithms . Evol. Comput. , 2 : 221 – 248 .
  • Van Veldhuizen , DA and Lamont , G . 2000 . Multiobjective evolutionary algorithms: analyzing the state-of-the-art . Evol. Comput. , 8 : 125 – 147 .
  • Venugopal , V and Narendran , TT . 1992 . A genetic algorithm approach to the machine–component grouping problem with multiple objectives . Comput. Ind. Engng. , 22 : 469 – 480 .
  • Wei , JC and Gaither , N . 1990 . An optimal model for cell-formation decisions . Decis. Sci. , 21 : 416 – 433 .
  • Wemmerlov , U and Johnson , DJ . 2000 . Empirical findings in manufacturing cell design . Int. J. Prod. Res. , 38 : 481 – 507 .
  • Zhao , C and Wu , Z . 2000 . A genetic algorithm for manufacturing cell-formation with multiple routes and multiple objectives . Int. J. Prod. Res. , 38 : 385 – 395 .
  • Zitzler , E and Thiele , L . 1999 . Multiobjective evolutionary algorithms: a comparative case study and the Strength Pareto approach . IEEE Trans. Evol. Comput. , 3 : 257 – 271 .
  • Zitzler , E and Thiele , L . SPEA2: improving the performance of the Strength Pareto Evolutionary Algorithm , Technical Report 103 . Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH), Zurich, 2001

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