A HYBRID NEURAL NETWORKS-COEVOLUTION GENETIC ALGORITHM FOR MULTI VARIABLES ROBUST DESIGN PROBLEM IN QUALITY ENGINEERING

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MEHREGAN M.R.; FARASAT A.R.

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Paper Information

Journal: JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT Year:2009 | Volume:1 | Issue:1 Page(s): 121-138

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Title

A HYBRID NEURAL NETWORKS-COEVOLUTION GENETIC ALGORITHM FOR MULTI VARIABLES ROBUST DESIGN PROBLEM IN QUALITY ENGINEERING

Author(s)

MEHREGAN M.R. | FARASAT A.R. | Issue Writer Certificate

Keywords

ROBUST OPTIMIZATIONQ3

NEURAL NETWORKSQ2

CO EVOLUTION GENETIC ALGORITHMQ3

GENETIC ALGORITHMQ2

QUALITY ENGINEERINGQ3

Abstract

In this study, a hybrid algorithm is presented to tackle multi-variables robust design problem. The proposed algorithm comprises NEURAL NETWORKS (NNs) and co-evolution GENETIC ALGORITHM (CGA) in which NEURAL NETWORKS are as a function approximation tool used to estimate a map between process variables. Furthermore, in order to make a ROBUST OPTIMIZATION of response variables, co-evolution algorithm is applied to solve constructed model of process. Results of CGA are compared with GENETIC ALGORITHM (GA). This algorithm is tested in a case study of open-end spinning process.

Cites

IDENTIFICATION AND PRIORITIES KBES CHALLENGES USING ANN METHOD (CASE STUDY: YAZDS KBES)

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APA: Copy

MEHREGAN, M.R., & FARASAT, A.R.. (2009). A HYBRID NEURAL NETWORKS-COEVOLUTION GENETIC ALGORITHM FOR MULTI VARIABLES ROBUST DESIGN PROBLEM IN QUALITY ENGINEERING. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 1(1), 121-138. SID. https://sid.ir/paper/140367/en

Vancouver: Copy

MEHREGAN M.R., FARASAT A.R.. A HYBRID NEURAL NETWORKS-COEVOLUTION GENETIC ALGORITHM FOR MULTI VARIABLES ROBUST DESIGN PROBLEM IN QUALITY ENGINEERING. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2009;1(1):121-138. Available from: https://sid.ir/paper/140367/en

IEEE: Copy

M.R. MEHREGAN, and A.R. FARASAT, “A HYBRID NEURAL NETWORKS-COEVOLUTION GENETIC ALGORITHM FOR MULTI VARIABLES ROBUST DESIGN PROBLEM IN QUALITY ENGINEERING,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 1, no. 1, pp. 121–138, 2009, [Online]. Available: https://sid.ir/paper/140367/en

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