GA based optimization of manufacturing cycle cost

Authors:
Ibrahim M. Deiab;Mohammed D. R. Al-Ansary
Affiliations:
Mechanical Engineering Department, American University of Sharjah, U.A.E.;Mechanical Engineering Department, Kuwait University, Kuwait
Venue:
MOAS'07 Proceedings of the 18th conference on Proceedings of the 18th IASTED International Conference: modelling and simulation
Year:
2007

Citing 4
Cited 0

Finite Element Analysis: Theory and Application with Ansys

Finite Element Analysis: Theory and Application with Ansys
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Using Genetic Algorithms in Engineering Design Optimization with Non-Linear Constraints

Proceedings of the 5th International Conference on Genetic Algorithms
Advanced optimal tolerance design of mechanical assemblies with interrelated dimension chains and process precision limits

Computers in Industry - Special issue: Application of genetics algorithms in industry

Quantified Score

Hi-index	0.00

Visualization

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.