Results 11 to 20 of about 920 (162)
Deep Ensemble of Slime Mold Algorithm and Arithmetic Optimization Algorithm for Global Optimization [PDF]
Processes, 2021 In this paper, a new hybrid algorithm based on two meta-heuristic algorithms is presented to improve the optimization capability of original algorithms. This hybrid algorithm is realized by the deep ensemble of two new proposed meta-heuristic methods, i.e., slime mold algorithm (SMA) and arithmetic optimization algorithm (AOA), called DESMAOA.
Rong Zheng +4 more
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IEEE Access, 2020 A recently modern stochastic optimization algorithm has been developed by observing the life of slime mold physarum polycephalum in nature. The algorithm is called the slime mold algorithm (SMA) with an excellent exploratory capacity and exploitation ...
Trong-The Nguyen +5 more
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Balanced version of Slime Mold Algorithm: A study on PEM fuel cell system parameters identification
Energy Reports, 2021 A new technique is proposed in this study for optimum selection of the unknown variables in the Proton Exchange Membrane Fuel Cells (PEMFCs). The major purpose is to present an efficient method for minimizing the error between the estimated and the ...
Junlong Zheng +4 more
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Slime Mold Algorithm for Optimal Reactive Power Dispatch Combining with Renewable Energy Sources [PDF]
Sustainability, 2021 The optimal reactive power dispatch (ORPD) is a complex, nonlinear, and constrained optimization problem. This paper presents the application of a new metaheuristic optimization technique called the slime mold algorithm (SMA) for solving the developed objective function of ORPD combining with renewable energy sources.
ElSayed, Salah K., Elattar, Ehab E.
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Applied Sciences, 2022 Damage detection of civil and mechanical structures based on measured modal parameters using model updating schemes has received increasing attention in recent years.
Ramin Ghiasi +6 more
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Small-Signal Stability Analysis and MOSMA-Based Optimization Control Strategy of OWF with MMC-HVDC Grid Connection [PDF]
Sensors, 2023 The recent oscillation events in offshore wind farms (OWFs) connected via a modular multilevel-converter-based HVDC (MMC-HVDC) system are developing towards a wider frequency band, which causes complex a small-signal interaction phenomenon and ...
Jie Zheng, Hui Li, Bo Zhang, Qinghe Li
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A Self-Adaptive Improved Slime Mold Algorithm for Multi-UAV Path Planning
DronesMulti-UAV path planning presents a critical challenge in Unmanned Aerial Vehicle (UAV) applications, particularly in environments with various obstacles and restrictions.
Yuelin Ma +3 more
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Robot Motion Planning Based on an Adaptive Slime Mold Algorithm and Motion Constraints
World Electric Vehicle JournalThe rapid advancement of artificial intelligence technology has significantly enhanced the intelligence of mobile robots, facilitating their widespread utilization in unmanned driving, smart home systems, and various other domains.
Rong Chen +3 more
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Ultra-short-term wind power prediction based on PVMD-ESMA-DELM
Energy Reports, 2022 The non-linearity and non-stationarity of wind power data have brought great challenges to the safe operation of the power system. It is particularly important to effectively improve the accuracy of ultra-short-term prediction of wind power.
Guoqing An +5 more
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Slime mold algorithm for topology optimization: metagratings inverse design.
Discover Applied Sciences, 2023 Abstract In this paper we discuss the use of a metaheuristic (MH) gradient-free optimization method, specifically the slime mold algorithm (SMA), combined with the topology optimization (TO) method for metasurfaces using spectral modal methods.
Edee, Kofi +2 more
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