Multi-objective optimization of surface grinding process with the use of evolutionary algorithm with remembered Pareto set
Source: The International Journal of Advanced Manufacturing Technology, Volume 37, Numbers 7-8, June 2008 , pp. 657-669(13)
Abstract:In this paper the multi-objective optimization of a surface grinding process making use of an evolutionary algorithm is presented. Such factors as wheel speed, workpiece speed, depth of dressing and lead of dressing are optimized in order to minimize production cost and surface roughness or to minimize production cost and maximize production rate. In the algorithm, the optimization is introduced in Pareto’s sense, all acceptable and non-dominated solutions are remembered, and therefore the final result is not a single solution, but a whole set. The proposed method based on an example chosen from literature is tested, and the results obtained are compared with the results obtained by the use of other methods.
Document Type: Research Article
Affiliations: 1: Department of Electronics and Computer Science, Technical University of Koszalin, Sniadeckich 2 Street, 75-453, Koszalin, Poland, Email: firstname.lastname@example.org 2: Department of Mechanical Engineering, Technical University of Koszalin, Raclawicka 15-17 Street, 75-620, Koszalin, Poland
Publication date: June 1, 2008