Name
Abstract | ||
|---|---|---|
Straightness error is the commonest one of form errors. In this paper, an intelligent evaluation method for straightness errors is provided. According to characteristics of straightness error evaluation, Particle Swarm Optimization (PSO) is proposed to evaluate the minimum zone error. The evolutional optimum model and the calculation process for using the PSO to evaluate minimum zone error are introduced in detail. Compared with conventional optimum methods such as simplex search and Powell method, PSO algorithm can find the global optimal solution, and the precision of calculating result is very good. Compared to genetic algorithms (GA), PSO is easy to implement and there are few parameters to adjust. Finally, a numerical example is carried out. The control experiment results evaluated by using different method such as the least square, simplex search, Powell optimum methods, Simulated Annealing Algorithms (SAA), GA and PSO, indicate that the proposed method does provide better accuracy on straightness error evaluation, and it has fast convergent speed as well as using computer. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-87442-3_39 | ICIC (1) |
Keywords | Field | DocType |
straightness error evaluation,pso algorithm,minimum zone error,simplex search,minimum zone method,different method,conventional optimum method,powell method,powell optimum method,form error,straightness error,straightness errors,simulated annealing algorithm,least square,global optimization,genetic algorithm | Simulated annealing,Particle swarm optimization,Least squares,Mathematical optimization,Computer science,Algorithm,Simplex,Artificial intelligence,Genetic algorithm,Machine learning | Conference |
Volume | ISSN | Citations |
5226 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 1 |