控制系统综合问题的二元变分遗传规划

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI:10.1109/FSKD.2017.8393051

A. Diveev, G. Balandina, S. Konstantinov

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引用次数: 5

摘要

本文提出了一种新的数值符号回归方法。它被称为完全二元变分遗传规划。我们将其用于最优控制的综合。该方法在交叉处优于遗传规划，利用小的变异减少了搜索面积，提高了搜索算法的速度。以移动机器人控制系统综合为例，验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Binary variational genetic programming for the problem of synthesis of control system

The paper describes a novel numerical symbolic regression method. It's called complete binary variational genetic programming. We use it for synthesis of optimal control. This method performs better than genetic programming at crossover, reduces the search area and speeds up search algorithm by using small variations. The efficiency of the new method is proven on the given example of control system synthesis for mobile robot.

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2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

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