Solving a multistage partial inspection problem using genetic algorithms

References

• ALANDER , J. T. 1999 . “ Population size, building blocks, fitness landscape and genetic algorithm search efficiency in combinatorial optimization: an empirical study ” . In Practical Handbook of Genetic Algorithms: Complex Coding Systems , Edited by: Chambers , L. D. Vol. Ill , Boca Raton : CRC Press .
   Google Scholar
• ANSARI , N. and HON , E. 1997 . Computational Intelligence for Optimization , Norwell : Kluwer .
   Google Scholar
• BACK , T. 1996 . Evolutionary Algorithms in Theory and Practice , New York : Oxford University Press .
   Google Scholar
• BARAD , M. 1990 . A break-even quality level approach to location of inspection stations in a multi-stage production process . International Journal of Production Research , 28 : 29 – 45 .
   Web of Science ®Google Scholar
• BIERWITH , C. and MALFELD , D. C. 1999 . Production scheduling and rescheduling with genetic algorithms . Evolutionary Computation , 7 : 1 – 17 .
   PubMed Web of Science ®Google Scholar
• COELLO COELLO , C. A. 2000 . An updated survey of GA-based multiobjective optimization techniques . ACM Computing Surveys , 32 : 109 – 143 .
   Web of Science ®Google Scholar
• DERRINGER , G. and SUICH , R. 1980 . Simultaneous optimization of several response variables . Journal of Quality Technology , 12 : 214 – 219 .
   Web of Science ®Google Scholar
• FALKENAUER , E. 1998 . Genetic Algorithms and Grouping Problems , Chichesten : Wiley .
   Google Scholar
• HOLLAND , J. H. 1975 . Adaptation in Natural and Artificial Systems , Cambridge , MA : MIT Press .
   Google Scholar
• KOZA , J. R. 1993 . “ Hierarchical automatic function definition in genetic programming ” . In Foundations of Genetic Algorithms 2 , Edited by: Whitley , L. D. San Mateo : Morgan Kauffman .
   Google Scholar
• LEE , J. and UNNIKRISHNAN , S. 1998 . Planning quality inspection operations in multistage manufacturing systems with inspection errors . International Journal of Production Research , 36 : 141 – 155 .
   Web of Science ®Google Scholar
• LIOU , M. , TSENG , S. and LIN , T. 1994 . Optimal sequence of partial inspection subject to errors . International Journal of Production Economics , 33 : 109 – 119 .
   Web of Science ®Google Scholar
• MONTGOMERY , D. C. 2001 . Introduction to Statistical Quality Control, , 4th edn , New York : Wiley .
   Google Scholar
• MYERS , R. H. and MONTGOMERY , D. C. 1995 . Response Surface Methodology , New York : Wiley .
   Google Scholar
• RASMUSSEN , S. and BARRETT , C. L. Elements of a theory of simulation . Proceedings of the European Conference on Artificial Life . Berlin . Springer .
   Google Scholar
• RAZ , T. and THOMAS , M. U. 1983 . A method for sequencing inspection activities subject to errors . IIE Transactions , 15 : 12 – 18 .
   Web of Science ®Google Scholar
• SCOTT , S. D. , SETH , S. and SAMAL , A. 1999 . “ A synthesizable VHDL coding of a genetic algorithm ” . In Practical Handbook of Genetic Algorithms: Complex Coding Systems , Edited by: Chambers , L. D. Vol. Ill , Boca Raton : CRC Press .
   Google Scholar
• TANG , K. and TANG , J. 1994 . Design of screening procedures: a review . Journal of Quality Technology , 26 : 209 – 222 .
   Web of Science ®Google Scholar
• VAINIO , M. , SCHONBERG , T. , HALME , A. and JAKUBIK , P. Optimizing the performance of a robot society in structured environments through genetic algorithms . Proceedings of the European Conference on Artificial Life . Berlin . Springer .
   Google Scholar
• WILEY , K. 1999 . “ An evolutionary algorithm that solves the nonintuitive problem of black and white pixel distribution to produce tiled patterns that appear gray ” . In Practical Handbook of Genetic Algorithms: Complex Coding Systems , Edited by: Chambers , L. D. Vol. Ill , Boca Raton : CRC Press .
   Google Scholar