Neuro-fuzzy and genetic algorithm in multiple response optimization

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Title:	Neuro-fuzzy and genetic algorithm in multiple response optimization
Authors:	鄭啟斌;Cheng, Chi-bin;Cheng, C. J.;Lee, E. S.
Contributors:	淡江大學資訊管理學系
Keywords:	Multiple response;Neuro-fuzzy system;Genetic algorithm;Multiple objective decision making
Date:	2002-12
Issue Date:	2011-10-23 13:16:35 (UTC+8)
Publisher:	Elsevier
Abstract:	Optimization of a multiple output system, whose function is only approximately known and is represented in tabular form, is modeled and optimized by the combined use of a neuro-fuzzy network and optimization techniques which do not require the explicit representation of the function. Neuro-fuzzy network is useful for learning the approximate original tabular system. However, the results obtained by the neuro-fuzzy network are represented implicitly in the network. The MANFIS neuro-fuzzy network, which is an extension of the ANFIS network, is used to model the multiple output system and a genetic algorithm is used to optimize the resulting multiple objective decision making problem. A chemical process whose function is represented approximately in tabular form is solved to illustrate the approach.
Relation:	Computers and Mathematics with Applications 44(12), pp.1503-1514
DOI:	10.1016/S0898-1221(02)00274-2
Appears in Collections:	[Graduate Institute & Department of Information Management] Journal Article

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