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首页> 外文会议>International conference on electrical, control computer engineering >Elimination-Dispersal Sine Cosine Algorithm for a Dynamic Modelling of a Twin Rotor System
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Elimination-Dispersal Sine Cosine Algorithm for a Dynamic Modelling of a Twin Rotor System

机译：双转子系统动力学建模的消除弥散正弦余弦算法

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This paper presents an improved version of Sine Cosine Algorithm (SCA). The original SCA is a simple algorithm and it offers a good accuracy. However, for some problems and fitness landscapes, the accuracy achievement of the algorithm is not at optimal. Search agents of the algorithm stuck at the local optima. The proposed new algorithm which is called an Elimination-Dispersal Sine-Cosine Algorithm adopts Elimination-Dispersal (ED) strategy from Bacterial Foraging Algorithm. The ED helps search agents to solve the local optima problem. At the same time, an elitism approach is applied in the proposed algorithm. The elitism ensures some agents continue the next search operation from the currently best found solution. The proposed algorithm is tested on CEC2014 benchmark functions that have various fitness landscapes and properties. The accuracy performance is compared with the original SCA and analyzed. It also is applied to acquire and optimize a dynamic model for a Twin Rotor System (TRS). Result of the modelling shows that the proposed algorithm achieves a better accuracy and thus present less modelling error and better dynamic response for the TRS.
机译：本文介绍了正弦余弦算法（SCA）的改进的版本。原始的SCA是一种简单的算法，并且具有良好的准确性。但是，对于某些问题和适应性状况，该算法的准确性并不是最佳的。该算法的搜索代理停留在局部最优值。所提出的新算法称为消散正弦余弦算法，它采用了细菌觅食算法中的消散（ED）策略。 ED帮助搜索代理解决局部最优问题。同时，在提出的算法中采用了精英主义的方法。精英精神确保某些特工从当前发现的最佳解决方案继续进行下一个搜索操作。该算法在具有各种适用性和性能的CEC2014基准函数上进行了测试。将准确度性能与原始SCA进行比较并进行分析。它还可用于获取和优化双转子系统（TRS）的动力学模型。建模结果表明，所提出的算法具有更高的精度，从而为TRS带来了更少的建模误差和更好的动态响应。

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