112 Study on Evaluation for Parallelism Errors of Planar Lines with GA Algorithms
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Based on the analysis of existent evaluation methods for form and position errors, a novel evaluation method is provided for parallelism error evaluation of planar lines. The evolutional optimum model and the calculation process are introduced in detail. According to characteristics of parallelism error evaluation, genetic algorithm (GA) based on real-code is proposed to evaluate the minimum zone error. Compared with conventional optimum evaluation methods, it can find the global optimal solution, and the precision of calculating result is very high. Then, the objective function calculation approaches for using the GA to evaluate minimum zone error are formulated. Finally, the control experiment results evaluated by different methods indicate that the proposed method does provide better accuracy on parallelism error evaluation. The evaluation method can also be extended to other position errors.