Genetic Algorithm Optimization of a Filament Winding Process

Charles L. Karr¹, Eric Wilson², and Sherri Messimer³

¹Associate Professor and Head
Aerospace Engineering and Mechanics
The University of Alabama
Box 870280, Tuscaloosa
AL, 35487-0280

²Research Engineer
Delta Research
315 Wynn Dr
Suite 1
Huntsville, AL 35805

³Associate Professor
Industrial Engineering Dept.
University of Alabama in Huntsville
Huntsville, AL 35899

Abstract. This paper describes a research effort to improve the efficiency of a filament winding process by combining the simulation capabilities of the WITNESS modeling program with the search capabilities of a genetic algorithm. Results show that the genetic algorithm is able to reduce the cost of producing filament wound mandrels used in the defense industry.

LNCS 2724, p. 2406 ff.

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