Optimal reactive power dispatch using an improved slime mould algorithm
Energy Reports, 2021 The optimal reactive power dispatch (ORPD) problem plays an important role in the reliability and economy of a power system. At present, the methods for solving the ORPD problem are insufficient in terms of both accuracy and computation time.
Yuanye Wei +3 more
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Improved slime mould algorithm based on hybrid strategy optimization of Cauchy mutation and simulated annealing. [PDF]
PLoS ONE, 2023 In this article, an improved slime mould algorithm (SMA-CSA) is proposed for solving global optimization and the capacitated vehicle routing problem (CVRP).
Xiaoyi Zhang, Qixuan Liu, Xinyao Bai
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Multi-objective optimization of hybrid microgrid for energy trilemma goals using slime mould algorithm [PDF]
Scientific ReportsThis study presents a multi-objective optimization of a hybrid microgrid (HMG) targeting the energy trilemma goals—energy security, affordability, and sustainability—using the Slime Mould Algorithm (SMA).
Alok Kumar Shrivastav, Soham Dutta
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Optimization of Construction Projects Time-Cost-Quality-Environment Trade-off Problem Using Adaptive Selection Slime Mold Algorithm [PDF]
Journal of Soft Computing in Civil EngineeringIn order to address optimization problems, artificial intelligence (AI) is employed in the construction industry, which aids in the growth and popularization of AI.
Pham Vu Hong Son, Luu Ngoc Quynh Khoi
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An Enhanced Slime Mould Algorithm Based on Best–Worst Management for Numerical Optimization Problems [PDF]
BiomimeticsThe Slime Mould Algorithm (SMA) is a widely used swarm intelligence algorithm. Encouraged by the theory of no free lunch and the inherent shortcomings of the SMA, this work proposes a new variant of the SMA, called the BWSMA, in which three improvement ...
Tongzheng Li +5 more
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An Optimized Power Load Forecasting Algorithm Based on VMD‐SMA‐LSTM
Energy Science & EngineeringAccurate load forecasting can scientifically guide the optimal operation and scheduling of urban power grids. This study introduces an enhanced power load forecasting algorithm, integrating slime mould algorithm (SMA) and long short‐time memory (LSTM) to
Wei Liu +4 more
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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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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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Levy slime mould algorithm for solving numerical and engineering optimization problems [PDF]
, 2022 The proposed Levy Slime Mould Algorithm (LSMA) is a novel metaheuristic algorithm that integrates the Levy distribution into a new metaheuristic called Slime Mould Algorithm (SMA) for solving numerical and engineering problems.
J. J., Jui +2 more
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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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