增量最佳估计定向搜索——对称系统的一个案例研究

Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569) Pub Date : 2001-07-25 DOI:10.1109/NAFIPS.2001.944702

F. Song, S.M. Smith

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引用次数: 0

摘要

研究了对称系统的增量最优估计定向搜索(ibed)算法的性能。IBEDS是一种为控制器优化而设计的可自引导搜索算法。其思想是使训练集和规则库对称。通过这样做，加快了ibed的搜索速度。仿真结果验证了该方法的有效性。

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Incremental best estimate directed search - a case study for symmetrical systems

This paper studies the performance of an incremental best-estimate-directed search (IBEDS) for symmetrical systems. IBEDS is a bootstrappable search algorithm designed for controller optimization. The idea is to make the training set and the rule base symmetric. By doing so, the the searching of IBEDS is expedited. The presented simulation results justify the method.

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Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569)

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