Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2008.3199.3206AmiriM.KarimiN.JamshidiS.F.122008818This study presents a methodology for solving multi-response
optimization problems. Since goal programming method considers decision
maker`s comments objectively, it has special significance; but using this
method in large and complex problems alone can`t be, so effective, thus
it would be a better idea to use a metaheuristic method. The proposed
method is a combination of simulation approach, fuzzy goal programming,
genetic algorithm and local search algorithm. This method will use firstly
simulation to generate required inputs, secondly fuzzy goal programming
to model the problem and finally genetic local search algorithm for problem
optimization. At the end we will show the performance of this method by
numerical example and designed experiments.]]>Avello, A.E., F.F. Baesler and R.J. Moraga,2004Leon, N.A.,1996Hu, C.F., C.J. Teng and S.Y. Li,2007Chen, Y. and C. Liu,1994Cheng, C.B., C.J. Cheng and E.S. Lee,2002Correia, D.S., C.V. Goncoalves, S.S. da Cunha Jr. and V.A. Ferraresi,2005Batson, G.R. and R. Suhr,2001Gen, M., K. Ida, Y. Tsujimura and C. Kim,1993Kapur, C.K. and B.R. Cho,1996Kim, D. and S. Rhee,2004Khoo, L.P. and C.H. Chen,2001Koksoy, O. and T. Yalcinoz, 2006Mirrrazavi, K., D.F. Jones and M. Tamiz,2001Montgomery, D.C.,1991Oktem, H. and T. Erzurumlu and H. Kurtaran,2005Pasandideh, S.H.R. and S.T.A. Niaki,2006Pignatiello, J.J.,1993Ross, P.J.,1996Winston, W.L.,2003Suresh, P.V.S., K. Venkateswara Rao and S.G. Desmukh,2002Ozcelik, B. and T. Erzurumlu, 2005