Name
Abstract | ||
|---|---|---|
In this paper we present a hybrid evaluation method in order to realise precision measurement of parts, based on the analysis of existent evaluation methods for form and position errors. The hybrid global optimisation algorithm based on particle swarm optimisation and chaos search method is proposed. The optimum model and the calculation process are introduced, where the parallelism error is discussed. The hybrid optimisation algorithm can improve the efficiency and accuracy of searching in the whole field by gradually shrinking the area of optimisation variable. Finally, a control experiment is carried out, and the calculation results by using different method, such as the least square, simplex search, Powell optimum methods and GA, show that the hybrid evaluation method is feasible and satisfactory in the errors evaluation. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1504/IJCAT.2012.048686 | IJCAT |
Keywords | Field | DocType |
existent evaluation method,chaos search method,errors evaluation,hybrid global optimisation algorithm,parallelism errors evaluation,different method,optimisation variable,hybrid optimisation algorithm,powell optimum method,particle swarm optimisation,hybrid evaluation method | Least squares,Particle swarm optimization,Mathematical optimization,Computer science,Algorithm,Simplex | Journal |
Volume | Issue | ISSN |
44 | 2 | 0952-8091 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ke Zhang | 1 | 7 | 6.11 |
| Sheng-Ze Wang | 2 | 1 | 1.17 |