Hybrid Slime Mold and Arithmetic Optimization Algorithm with Random Center Learning and Restart Mutation [PDF]
Biomimetics, 2023 The slime mold algorithm (SMA) and the arithmetic optimization algorithm (AOA) are two novel meta-heuristic optimization algorithms. Among them, the slime mold algorithm has a strong global search ability.
Hongmin Chen +4 more
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Multiprocessor Fair Scheduling Based on an Improved Slime Mold Algorithm
Algorithms, 2023 An improved slime mold algorithm (IMSMA) is presented in this paper for a multiprocessor multitask fair scheduling problem, which aims to reduce the average processing time.
Manli Dai, Zhongyi Jiang
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Intelligent diagnosis method for river and lake ecosystem health based on improved slime mold algorithm-optimized SVR [PDF]
PLoS ONEIn the diagnosis of river and lake ecosystems, there are complex nonlinear relationships among water quality parameters, and their dynamic change mechanisms are rather complicated.
Ran Chi, Yuewu Da, Weiying Li, Duo Wen
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Algorithms, 2022 The slime mold algorithm (SMA) is a swarm-based metaheuristic algorithm inspired by the natural oscillatory patterns of slime molds. Compared with other algorithms, the SMA is competitive but still suffers from unbalanced development and exploration and ...
Yunyang Zhang, Shiyu Du, Quan Zhang
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Maximum Lyapunov exponent-based multiple chaotic slime mold algorithm for real-world optimization [PDF]
Scientific Reports, 2023 Slime mold algorithm (SMA) is a nature-inspired algorithm that simulates the biological optimization mechanisms and has achieved great results in various complex stochastic optimization problems.
Jiaru Yang +5 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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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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A Two-Way Parallel Slime Mold Algorithm by Flow and Distance for the Travelling Salesman Problem
Applied Sciences, 2020 In order to solve the problem of poor local optimization of the Slime Mold Algorithm (SMA) in the Travelling Salesman Problem (TSP), a Two-way Parallel Slime Mold Algorithm by Flow and Distance (TPSMA) is proposed in this paper. Firstly, the flow between
Meijiao Liu +7 more
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A Slime Mold-Ant Colony Fusion Algorithm for Solving Traveling Salesman Problem
IEEE Access, 2020 The Ant Colony Optimization (ACO) is easy to fall into the local optimum and its convergence speed is slow in solving the Travelling Salesman Problem (TSP). Therefore, a Slime Mold-Ant Colony Fusion Algorithm (SMACFA) is proposed in this paper.
Meijiao Liu +7 more
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Method for predicting dynamic current-carrying capacity of transmission lines by integrating improved VMD and time-varying ensemble model. [PDF]
PLoS ONEAccurately predicting the dynamic thermal rating of power lines is the core of overcoming the bottleneck in the engineering application of line dynamic capacity - increase technology. In response to the limitations of DTR data decomposition caused by the
Siyu Yang, Wubang Hao
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