Results 11 to 20 of about 2,517,492 (179)
Mutational Slime Mould Algorithm for Gene Selection
Biomedicines, 2022 A large volume of high-dimensional genetic data has been produced in modern medicine and biology fields. Data-driven decision-making is particularly crucial to clinical practice and relevant procedures.
Feng Qiu +7 more
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Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications
Archives of Computational Methods in Engineering, 2023 Meta-heuristic algorithms have a high position among academic researchers in various fields, such as science and engineering, in solving optimization problems. These algorithms can provide the most optimal solutions for optimization problems.
F. Gharehchopogh +4 more
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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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Complex & Intelligent Systems, 2022 The existing slime mould algorithm clones the uniqueness of the phase of oscillation of slime mould conduct and exhibits slow convergence in local search space due to poor exploitation phase.
Leela Kumari Ch +2 more
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Enhanced Multi-Strategy Slime Mould Algorithm for Global Optimization Problems
BiomimeticsIn order to further improve performance of the Slime Mould Algorithm, the Enhanced Multi-Strategy Slime Mould Algorithm (EMSMA) is proposed in this paper. There are three main modifications to SMA.
Yuncheng Dong, Ruichen Tang, Xinyu Cai
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Implementation of Chaotic Reverse Slime Mould Algorithm Based on the Dandelion Optimizer
Biomimetics, 2023 This paper presents a hybrid algorithm based on the slime mould algorithm (SMA) and the mixed dandelion optimizer. The hybrid algorithm improves the convergence speed and prevents the algorithm from falling into the local optimal.
Yi Zhang, Yang Liu, Yue Zhao, Xu Wang
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Improving Moth-Flame Optimization Algorithm by using Slime-Mould Algorithm
Tikrit Journal of Pure Science, 2022 The MFO algorithm is one of the modern optimization algorithms based on swarm intelligence, and the SMA algorithm is also one of the latest algorithms in the same field and has the advantages of fast convergence, high convergence accuracy, robust and ...
Sami N. Hussein, Nazar K. Hussein
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Chaotic slime mould optimization algorithm for global optimization
Artificial Intelligence Review, 2021 Metaheuristic optimization methods; It is a well-known global optimization approach for large-scale search and optimization problems, commonly used to find the solution many different optimization problems. Slime mould optimization algorithm (SMA) is a recently presented metaheuristic technique that is inspired by the behavior of slime mould.
Altay O., ALTAY, OSMAN
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Multi-Strategy-Improvement-Based Slime Mould Algorithm
Applied SciencesIn addressing the challenges posed by the sluggish convergence rate, suboptimal stability, and susceptibility to local optimization in function optimization problems, a multi-strategy-based enhanced slime mold optimization algorithm (MSSMA) has been ...
Donghai Huang, Tianbing Tang, Yi Yan
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Identification of Dynamical Models of Spatio-temporal Pattern Formation with Applications to Slime Mould [PDF]
, 2011 Spatio-temporal systems are non-linear dynamical systems which include both time and space information. Many natural phenomena and processes can be described by spatio-temporal models, such as pattern formation, chemical reactions and physical dynamics ...
Wang, Shu
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