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作 者:Xin Wang Jian Feng Yuxin Qin
机构地区:[1]College of Electrical and Information Engineering,Hunan University of Technology,Zhuzhou,412007,Hunan,China [2]Hunan Engineering Research Centre of Electrical Drive and Regenerative Energy Storage and Utilization,Zhuzhou,412007,Hunan,China [3]School of Computer Science,University of Glasgow,Glasgow,G128QQ,Scotland,UK
出 处:《Journal of Bionic Engineering》2025年第2期866-883,共18页仿生工程学报(英文版)
基 金:by National Natural Science Foundation of China(62373142,62033014);Natural Science Foundation of Hunan Province(2025JJ70017,2022JJ50074).
摘 要:To address issues such as poor initial population diversity, low stability and local convergence accuracy, and easy local optima in the traditional Multi-Objective Artificial Hummingbird Algorithm (MOAHA), an Improved MOAHA (IMOAHA) was proposed. The improvements involve Tent mapping based on random variables to initialize the population, a logarithmic decrease strategy for inertia weight to balance search capability, and the improved search operators in the territory foraging phase to enhance the ability to escape from local optima and increase convergence accuracy. The effectiveness of IMOAHA was verified through Matlab/Simulink. The results demonstrate that IMOAHA exhibits superior convergence, diversity, uniformity, and coverage of solutions across 6 test functions, outperforming 4 comparative algorithms. A Wilcoxon rank-sum test further confirmed its exceptional performance. To assess IMOAHA’s ability to solve engineering problems, an optimization model for a multi-track, multi-train urban rail traction power supply system with Supercapacitor Energy Storage Systems (SCESSs) was established, and IMOAHA was successfully applied to solving the capacity allocation problem of SCESSs, demonstrating that it is an effective tool for solving complex Multi-Objective Optimization Problems (MOOPs) in engineering domains.
关 键 词:Multi-objective artificial hummingbird algorithm Tent mapping based on random variables Urban rail transit Supercapacitor energy storage systems Capacity allocation
分 类 号:TM912[电气工程—电力电子与电力传动]
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