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An approach for Optimization of Machining Parameters Under Uncertainties Using Intervals and Evolutionary Algorithms

Published

Author(s)

Jean-Louis Vigouroux, Laurent Deshayes, Sebti Foufou, Lawrence A. Welsch

Abstract

Uncertainty analysis with intervals is an alternative to stochastic optimization for machining optimization problems with uncertainties. This paper presents a study of the coupling interval analysis and evolutionary algorithms for solving optimization problems in high-speed machining. For investigation purposes, the resulting algorithm was first applied to a conventional turning problem and compared to a linear programming algorithms.
Proceedings Title
Proceedings of the First International Conference on Smart Machining Systems
Conference Dates
March 13-15, 2007
Conference Location
Gaithersburg, MD
Conference Title
First International Conference on Smart Machining Systems

Keywords

evolutionary algorithms, interval analysis, optimization of machining parameters, optimization under uncertainties

Citation

Vigouroux, J. , Deshayes, L. , Foufou, S. and Welsch, L. (2007), An approach for Optimization of Machining Parameters Under Uncertainties Using Intervals and Evolutionary Algorithms, Proceedings of the First International Conference on Smart Machining Systems, Gaithersburg, MD (Accessed July 15, 2024)

Issues

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Created May 1, 2007, Updated February 19, 2017