DocumentCode
541765
Title
Optimization of process parameters using genetic algorithm and PSO
Author
Sarah, S. Anitha ; Daisy, I. Jeya ; Varghese, Roshini
Author_Institution
Dept. of EIE, Kumaraguru Coll. of Technol., Coimbatore, India
fYear
2010
fDate
27-29 Dec. 2010
Firstpage
340
Lastpage
345
Abstract
Process Industries parameters have to be measured. In Pulp Industry quality of paper (Copier) is determined by many factors of which Brightness and Thickness are the most important. Optimization of parameters is obtained through PSO and results are compared with GA and it is found that PSO has better computational efficiency than GA Effectiveness has increased by using VI as a tool in control process.
Keywords
genetic algorithms; particle swarm optimisation; production engineering computing; pulp manufacture; quality control; virtual instrumentation; PSO; copier; genetic algorithm; paper quality; particle swarm optimization; process parameter optimization; pulp industry; virtual instrument; Algorithm design and analysis; Biological cells; Brightness; Gallium; Genetics; Industries; Optimization; Genetic Algorithm (GA); Particle Swarm Optimization (PSO); Process parameters; Pulp Industry;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication and Computational Intelligence (INCOCCI), 2010 International Conference on
Conference_Location
Erode
Type
conf
Filename
5738754
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