Title :
A fuzzy multi-objective genetic algorithm approach to optimal parameter design for laser electrophotographic systems
Author :
Chen, Cheng-Lun ; Weng, Ching-Pang
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Hsing Univ., Taichung, Taiwan
Abstract :
This paper proposes a systematic approach to conduct system-level optimal parameter design for laser electrophotographic systems. Besides system performance, we incorporate two other practical indices, i.e., cost and energy consumption, into design objectives and formulate a multi-objective optimization problem. Fuzzy logics are employed to provide the nonlinear or linguistic mapping between the decision variables and the design objectives. For comparison purpose, the problem is solved using both single-objective and multi-objective optimization algorithms. A conventional monochrome laser printer serves as the platform for verification of the proposed optimal design approach.
Keywords :
electrophotography; fuzzy logic; genetic algorithms; laser printers; cost consumption; decision variable; energy consumption; fuzzy logic; fuzzy multiobjective genetic algorithm approach; laser electrophotographic system; laser printer; linguistic mapping; optimal parameter design; Algorithm design and analysis; Cost function; Design optimization; Energy consumption; Fuzzy logic; Fuzzy systems; Genetic algorithms; Optical design; Printers; System performance; fuzzy system; genetic algorithm; laser electrophotographic system; multi-objective constrained optimization;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138717