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An Immune Algorithm for Least Cost Advanced Tolerance Design Problem

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Abstract:

This paper considers nonlinearly mixed integer tolerance allocation problems in which both tolerance and process selection are to be decided simultaneously so as to minimize the manufacturing cost. The tolerance allocation problem has been studied in the literature for decades, usually using mathematical programming or heuristic/metaheuristic optimization approaches. The difficulties encountered for both methodologies are the number of constraints and the difficulty of satisfying the constraints. A penalty-guided artificial immune algorithm is presented for solving such mixed integer tolerance allocation problems. Numerical examples indicate that the proposed artificial immune algorithms perform well for the tolerance allocation problem considered in this paper. In particular, as reported, solutions obtained by artificial immune algorithm are as well as or better than the previously best-known solutions.

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Periodical:

Materials Science Forum (Volumes 505-507)

Pages:

511-516

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.505-507.511

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Online since:

January 2006

Authors:

Ta Cheng Chen, Tung-Chou Hsu

Keywords:

Immune Algorithm, Mixed-Integer Nonlinear Programming, Tolerance Allocation

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© 2006 Trans Tech Publications Ltd. All Rights Reserved

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