GA based optimization of manufacturing cycle cost

Authors:
Ibrahim M. Deiab;Mohammed D. R. Al-Ansary
Affiliations:
American University of Sharjah, U.A.E;Kuwait University, Kuwait
Venue:
MS '07 The 18th IASTED International Conference on Modelling and Simulation
Year:
2007

Citing 3
Cited 0

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Abstract

A multi-variable objective function for the optimum design of a robot arm is formulated and solved using genetic algorithms method (GA) with simultaneous consideration of both design and manufacturing decision variables. The objective is to optimize (minimize) the total manufacturing cost under dimensional, weight and machine power constraints using GA. Finite element analysis was adopted for the structural part of the analysis.