Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/43862
標題: A multi-objective problem based on fuzzy inference with application to parametric design of an electrophotographic system
作者: Chen, Cheng-Lun
Weng, Ching-Pang
關鍵字: Fuzzy inference system;Genetic algorithm;Electrophotographic system;Multi-objective constrained optimization
出版社: Elsevier Ltd.
Project: Expert Systems with Applications, Volume 38, Issue 7, Page(s) 8673-8683.
摘要: 
This paper proposes a systematic approach to conduct system-level optimal parametric design for a class of electrophotographic systems. A conventional monochrome laser printer serves as the platform for verification of the proposed optimal design approach. Besides performance, we incorporate two other practical indices, i.e., cost and energy consumption, into design objectives and formulate a multi-objective optimization problem. A fuzzy inference system is established to provide the nonlinear or linguistic mapping between the decision variables and the design objectives. For comparative purpose, the problem is solved using both single-objective and multi-objective optimization algorithms. Note that the proposed approach is also applicable to other complex systems.
URI: http://hdl.handle.net/11455/43862
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2011.01.073
Appears in Collections:電機工程學系所

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