DBO (Dung Beetle Optimizer, DBO for short) is a new population intelligence algorithm based on beetle ball rolling, dancing, foraging, stealing, reproduction and other behaviors. This algorithm is characterized by strong merit-seeking ability and fast convergence. The DBO algorithm consists of four ...
Energy Valley Optimizer (EVO) as a new meta-heuristic algorithm that can outperform other alternative meta-heuristic algorithms in unconstrained mathematical test functions and converge to the best global solution with the least evaluation of the objective function[15]. The dung beetle optimizer (DBO)...
This paper introduces an improved version of the dung beetle optimizer (IDBO), which employs various strategies to enhance population initialization, algorithm optimization capability, and convergence speed. For theoretical function optimization problems, comparing IDBO with other commonly used optimization ...
Shen, Dung beetle optimizer: A new meta-heuristic algorithm for global optimization. J SUPERCOMPUT. 79(7), 7305–7336 (2023) Article Google Scholar W. Zilong, S. Peng, A multi-strategy dung beetle optimization algorithm for optimizing constrained engineering problems. IEEE Access. 11, 98805–...
Optimization of Acceleration Sensor Layout for Transmission Towers Based on the Dung Beetle Optimizer (DBO) Algorithm In this study, we investigate the structural response and condition monitoring of power transmission towers under landslide conditions. Focusing on a 110kV... Shaobo Dong,Zhijian Liu,...
2024, IET Smart Cities Air-quality prediction based on the ARIMA-CNN-LSTM combination model optimized by dung beetle optimizer 2023, Scientific Reports View all citing articles on Scopus © 2022 The Authors. Published by Elsevier Ltd. Recommended articles ...
Inversion of Rayleigh wave dispersion curve based on improved dung beetle optimizer algorithm 【摘要】瑞雷波勘探方法是一种常用的近地表勘探技术,频散曲线反演是瑞雷波勘探数据处理流程中的关键步骤之一。作为一个典型的多参数、多极值、高度非线性的地球物理优化问题,频散曲线的准确、高效反演对计算近地表横波速度...
蜣螂优化算法(DBO)简介 蜣螂优化算法(dung beetle optimizer,DBO)是东华大学Shen团队推出的第二个算法,其灵感来自于蜣螂的滚球、跳舞、觅食、偷窃和繁殖行为。 该算法同时考虑了全局探索和局部开发,从而具有收敛速度快和准确率高的特点,可以有效地解决复杂的寻优问题。 非支配排序的蜣螂优化算法(NSDBO) NSDBO算法结合...
An enhanced dung beetle optimizer with adaptive node selection and dynamic step search for mobile robots path planning This strategy dynamically adjusts the step size based on the relative distance between the current position and the worst position of each iteration, ... Wanying Zhang,Huajun Zhang...
蜣螂优化算法(DBO)简介蜣螂优化算法(dung beetle optimizer,DBO)是东华大学Shen团队推出的第二个算法,其灵感来自于蜣螂的滚球、跳舞、觅食、偷窃和繁殖行为。该算法同时考虑了全局探索和局部开发,从而具有收敛速度快和准确率高的特点,可以有效地解决复杂的寻优问题。非支配排序的蜣螂优化算法(NSDBO) NSDBO算法结合了DBO...