Results 11 to 20 of about 2,726 (189)

An Enhanced Slime Mould Algorithm Combines Multiple Strategies

Axioms, 2023
In recent years, due to the growing complexity of real-world problems, researchers have been favoring stochastic search algorithms as their preferred method for problem solving. The slime mould algorithm is a high-performance, stochastic search algorithm
Wenqing Xiong, Dahai Li, Donglin Zhu, Rui Li, Zhang Lin   +4 more
doaj   +2 more sources

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
doaj   +2 more sources

A Multi-Objective Optimization Framework That Incorporates Interpretable CatBoost and Modified Slime Mould Algorithm to Resolve Boiler Combustion Optimization Problem [PDF]

Biomimetics
The combustion optimization problem of the circulation fluidized bed boiler is regarded as a difficult multi-objective optimization problem that requires simultaneously improving the boiler thermal efficiency and reducing the NOx emissions concentration.
Shan Gao, Yunpeng Ma
doaj   +2 more sources

Multi-Strategy-Improvement-Based Slime Mould Algorithm

Applied Sciences
In 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
doaj   +2 more sources

A Modified Slime Mould Algorithm for Global Optimization. [PDF]

Comput Intell Neurosci, 2021
Slime mould algorithm (SMA) is a population‐based metaheuristic algorithm inspired by the phenomenon of slime mould oscillation. The SMA is competitive compared to other algorithms but still suffers from the disadvantages of unbalanced exploitation and exploration and is easy to fall into local optima. To address these shortcomings, an improved variant
Tang AD, Tang SQ, Han T, Zhou H, Xie L.
europepmc   +4 more sources

Multi-Strategy Enhanced Slime Mould Algorithm for Optimization Problems

IEEE Access
The slime mould algorithm (SMA) simulates the mechanism by which slime moulds optimize paths through chemical signaling and morphological changes, enabling efficient exploration and exploitation of the solution space. While SMA is simple and flexible, it
Zaixin Duan, Xuezhong Qian, Wei Song
doaj   +2 more sources

An efficient weighted slime mould algorithm for engineering optimization

Journal of Big Data
In engineering applications, optimal parameter design is crucial. While Slime Mould Algorithm (SMA) excels in parameter discovery under constrained conditions, it faces challenges in achieving global convergence and avoiding local opsecttimal traps in ...
Qibo Sun, Chaofan Wang, Yi Chen, Ali Asghar Heidari, Huiling Chen, Guoxi Liang   +5 more
doaj   +2 more sources

Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications. [PDF]

Arch Comput Methods Eng, 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. This paper investigates a new meta-heuristic algorithm called Slime Mould algorithm (SMA) from different ...
Gharehchopogh FS, Ucan A, Ibrikci T, Arasteh B, Isik G.   +4 more
europepmc   +3 more sources

Experimental validation of a novel hybrid Equilibrium Slime Mould Optimization for solar photovoltaic system [PDF]

Heliyon
Maximizing Power Point Tracking (MPPT) is an essential technique in photovoltaic (PV) systems that guarantees the highest potential conversion of sunlight energy under any irradiance changes.
Djallal Eddine Zabia, Hamza Afghoul, Okba Kraa, Yassine Himeur, Haitham S. Ramadan, Istemihan Genc, Abdoulkader I. Idriss, Sami Miniaoui, Shadi Atalla, Wathiq Mansoor   +9 more
doaj   +2 more sources

Adaptive Opposition Slime Mould Algorithm [PDF]

Soft Computing, 2021
Abstract Recently, the slime mould algorithm (SMA) has become popular in function optimization, because it effectively uses exploration and exploitation to reach an optimal solution or near-optimal solution. However, the SMA uses two random search agents from the whole population to decide the future displacement and direction from the best ...
Manoj Kumar Naik, Rutuparna Panda, Ajith Abraham   +2 more
openaire   +1 more source