Results 21 to 30 of about 2,726 (189)
FP-SMA: an adaptive, fluctuant population strategy for slime mould algorithm. [PDF]
Neural Comput Appl, 2022 In this paper, an adaptive Fluctuant Population size Slime Mould Algorithm (FP-SMA) is proposed. Unlike the original SMA where population size is fixed in every epoch, FP-SMA will adaptively change population size in order to effectively balance exploitation and exploration characteristics of SMA's different phases.
Alfadhli J +3 more
europepmc +4 more sources
3D Path Planning of UAV Based on Adaptive Slime Mould Algorithm Optimization
Shanghai Jiaotong Daxue xuebao, 2023 Aimed at the problems of insufficient search range and optimization performance in 3D path planning of unmanned aerial vehicles (UAVs), and the lack of optimization accuracy of the existing slime mould algorithm (SMA), which is easy to fall into local ...
HUANG He, GAO Yongbo, RU Feng, YANG Lan, WANG Huifeng
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DÜMF Mühendislik Dergisi, 2022 The Slime mould algorithm (SMA) is a relatively new metaheuristic technique that was just presented. While the performance of the newly proposed algorithms gives satisfactory results in optimization problems, combining a recently proposed algorithm with the components of different algorithms improves the performance of SMAs. In recent years, leader SMA
Osman ALTAY, Elif VAROL ALTAY
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Designing of 2d-IIR Filter Using a Fused ESMA-Pelican Optimization Algorithm (FEPOA)
Информатика и автоматизация, 2023 Many Digital Signal Processing (DSP) applications and electronic gadgets today require digital filtering. Different optimization algorithms have been used to obtain fast and improved results.
Rakesh Kumar Sharma +2 more
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Applied Sciences, 2023 Glass products are important evidence of early East–West cultural exchanges. Ancient glass in China mostly consisted of lead glass, and potassium glass is widely believed to be imported abroad.
Yuheng Guo, Wei Zhan, Weihao Li
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Hybrid Algorithm of Slime Mould Algorithm and Arithmetic Optimization Algorithm Based on Random Opposition-Based Learning [PDF]
Jisuanji kexue yu tansuo, 2022 Slime mould algorithm (SMA) and arithmetic optimization algorithm (AOA) are new meta-heuristic optimization algorithms proposed recently. SMA has strong ability of global exploration, but the oscillation effect is weak in the late iteration.
JIA Heming, LIU Yuxiang, LIU Qingxin, WANG Shuang, ZHENG Rong
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Energies, 2022 Optimal power flow (OPF) represents one of the most important issues in the electrical power system for energy management, planning, and operation via finding optimal control variables with satisfying the equality and inequality constraints.
Murtadha Al-Kaabi +2 more
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Electrical engineering & Electromechanics, 2020 Purpose. This paper proposes the application procedure of a new metaheuristic technique in a practical electrical power system to solve optimal power flow problems, this technique namely the slime mould algorithm (SMA) which is inspired by the swarming ...
Ramzi Kouadri +2 more
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Journal of King Saud University: Computer and Information Sciences, 2022 The existing methodologies used for multilevel thresholding are not efficient in terms of both accuracy and computation time. Two-dimensional histogram-based techniques are better in terms of accuracy while they are computation intensive. The slime mould
Manoj Kumar Naik +2 more
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An Improved Slime Mould Algorithm for Demand Estimation of Urban Water Resources
Mathematics, 2021 A slime mould algorithm (SMA) is a new meta-heuristic algorithm, which can be widely used in practical engineering problems. In this paper, an improved slime mould algorithm (ESMA) is proposed to estimate the water demand of Nanchang City.
Kanhua Yu, Lili Liu, Zhe Chen
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