As part of a strategy for obtaining preliminary design specifications from the House of Quality, genetic algorithms are used to generate and optimize preliminary design specifications for an automotive case study. This paper describes the House of Quality for an automotive case study. In addition, the genetic algorithm chosen, the genetic coding, the methods used for mutation and reproduction, and the fitness and penalty functions are described. Methods for determining convergence are examined. Finally, test results show that the genetic algorithm produces reasonable preliminary design specifications.
Using Genetic Algorithms to Set Target Values for Engineering Characteristics in the House of Quality
Contributed by the Computers and Information in Engineering Division for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received Jan. 2001; Revised Jul. 2002. Associate Editor: D. Dutta.
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Brackin, P., and Colton, J. S. (September 25, 2002). "Using Genetic Algorithms to Set Target Values for Engineering Characteristics in the House of Quality ." ASME. J. Comput. Inf. Sci. Eng. June 2002; 2(2): 106–114. https://doi.org/10.1115/1.1504847
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