增强的电磁群产生更好的优化

IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
K. Srikanth
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引用次数: 0

摘要

群体智能已经成为世界范围内研究人员用于优化的主要技术之一。本文基于粒子运动与电磁场的联系,在策略延迟的影响下,对群体的更新方程进行了微调。粒子在搜索空间中的运动一般局限于自由空间,但如果将解限制在磁场包络下,则算法在电磁场内收敛性更好。对三联倒立摆进行了仿真研究,结果表明,与传统的控制方法相比,该方法可以很容易地实现稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced electromagnetic swarm yields better optimisation
Swarm intelligence has been one of the leading techniques used by researchers worldwide for optimisation. In this paper, the fine tuning of the update equations for the swarm are done based on linkage of particle motion with a electromagnetic field and also under the influence of strategic delays. The motion of a particle in a search space is confined to free space in general, however if restricted the solution under the envelope of a magnetic field, the algorithm better converges within a electromagnetic field. Simulation studies have been performed on the triple inverted pendulum case study which showed that stability was achieved with ease when compared to classical methods of control.
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来源期刊
International Journal of Swarm Intelligence Research
International Journal of Swarm Intelligence Research COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.50
自引率
0.00%
发文量
76
期刊介绍: The mission of the International Journal of Swarm Intelligence Research (IJSIR) is to become a leading international and well-referred journal in swarm intelligence, nature-inspired optimization algorithms, and their applications. This journal publishes original and previously unpublished articles including research papers, survey papers, and application papers, to serve as a platform for facilitating and enhancing the information shared among researchers in swarm intelligence research areas ranging from algorithm developments to real-world applications.
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