FDA_CPR: An efficient improved flow direction algorithm with cellular topological structure, potential energy concept and rockfall strategy

IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Ain Shams Engineering Journal Pub Date : 2024-08-01 DOI:10.1016/j.asej.2024.102978
Haoran Chen , Yukun Wang , Zhongfeng Li
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Abstract

Aiming at the problems of Flow Direction Algorithm (FDA), such as premature convergence and tendency to fall into local optimum, this paper proposes an efficient improved version named FDA_CPR. Firstly, the embedding of the topological structure of cellular automata to increase the population diversity of the algorithm. Then, Lévy flight is used to replace the D8 algorithm of FDA and a position update strategy based on Sine Cosine Algorithm to slow down the convergence of the algorithm. Furthermore, a new concept of “potential energy” is introduced to calculate the energy score of the flow and determine the new direction of movement to improve the search efficiency of the algorithm. Finally, a “rockfall strategy” based on dynamic opposite learning is designed to help the algorithm jump out of the local optimum. FDA_CPR is compared with eight well-known algorithms on CEC2017 and several feature selection problems to evaluate its performance. Qualitative analysis, Friedman's test and Wilcoxon signed rank test confirmed the effectiveness of the improvement in different ways. Various experimental results show that FDA_CPR has considerable advantages in solving both discrete and continuous problems, and its comprehensive performance is better than that of FDA and other comparison algorithms.

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FDA_CPR:采用蜂窝拓扑结构、势能概念和落石策略的高效改进流向算法
针对流向算法(FDA)存在的过早收敛和容易陷入局部最优等问题,本文提出了一种高效的改进版本 FDA_CPR。首先,通过嵌入细胞自动机的拓扑结构来增加算法的种群多样性。然后,用 Lévy flight 代替 FDA 的 D8 算法,并采用基于正弦余弦算法的位置更新策略来减缓算法的收敛速度。此外,还引入了新的 "势能 "概念,用于计算流的能量得分并确定新的运动方向,以提高算法的搜索效率。最后,设计了一种基于动态相反学习的 "落石策略",以帮助算法跳出局部最优。在 CEC2017 和几个特征选择问题上,FDA_CPR 与八个著名算法进行了比较,以评估其性能。定性分析、Friedman 检验和 Wilcoxon 符号秩检验从不同方面证实了改进的有效性。各种实验结果表明,FDA_CPR 在解决离散和连续问题方面都具有相当大的优势,其综合性能优于 FDA 和其他比较算法。
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来源期刊
Ain Shams Engineering Journal
Ain Shams Engineering Journal Engineering-General Engineering
CiteScore
10.80
自引率
13.30%
发文量
441
审稿时长
49 weeks
期刊介绍: in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance. Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.
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