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
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;
Conference_Titel :
Communication and Computational Intelligence (INCOCCI), 2010 International Conference on
Conference_Location :
Erode
