Comparison between genetic algorithms and response surface methodology in GMAW welding optimization

Journal of Materials Processing Technology

Volumn 160, Issue 1, 2005, Pages 70-76

  Correia, Davi Sampaio ^a   Gonçalves, Cristiene Vasconcelos ^a   Da Cunha Jr , Sebastião Simões ^a   Ferraresi, Valtair Antonio ^a  

^a FEDERAL UNIVERSITY OF UBERLÂNDIA   (Brazil)

Author keywords

Genetic algorithm; GMAW; Optimization; Response surface methodology

Indexed keywords

DEPOSITION; ELECTRIC ARC WELDING; ELECTRODES; GENETIC ALGORITHMS; OPTIMIZATION; PROBABILITY; PROBLEM SOLVING; REGRESSION ANALYSIS; SURFACE TREATMENT;

REFERENCE VOLTAGE; RESPONSE SURFACE METHODOLOGY (RSM); WELDING SPEED;

GAS METAL ARC WELDING;

EID: 13844276116     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2004.04.243     Document Type: Article

References (7)

1. R.H. Myers, D.H. Montgomery, Response Surface Methodology, John Wiley & Sons, USA, 1995, 705 pp.
2. Sette S., Boullart L., Langenhove L. Optimizing a production process by a neural network/genetic algorithm approach. Eng. Appl. Artif. Intell. 9(6):1996;681-689
3. Busacca P.G., Marseguerra M., Zio E. Multiobjective optimization by genetic algorithms: application to safety systems. Reliab. Eng. Syst. Safety. 72:2001;59-74
4. D. Kim, S. Rhee, Optimization of arc welding process parameters using a genetic algorithm, Weld. J. (2001) 184-189.
5. J.H. Holland, Adaptation in Natural and Artificial System, University of Michigan Press, Ann Arbor, MI, 1975, 406 pp.
6. D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, 1989, 435 pp.
7. D.S. Correia, V.A. Ferraresi, Metodologia de Custo da Não Qualidade Aplicada na Soldagem, in: Anais do XVI Congresso Brasileiro de Engenharia Mecânica, Uberlândia, Brazil, 2001.