Slime mould algorithm: a comprehensive review of recent variants and applications
Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …
because of its simple structure, excellent optimisation capabilities, and acceptable …
Slime mould algorithm: A comprehensive survey of its variants and applications
Meta-heuristic algorithms have a high position among academic researchers in various
fields, such as science and engineering, in solving optimization problems. These algorithms …
fields, such as science and engineering, in solving optimization problems. These algorithms …
Modified honey badger algorithm based global MPPT for triple-junction solar photovoltaic system under partial shading condition and global optimization
In the recent era, Metaheuristic Algorithms (MHs) are developed to tackle many and different
optimization problems. The merit of the MHs is not only its simplicity to understand but also …
optimization problems. The merit of the MHs is not only its simplicity to understand but also …
Optimal dynamic reconfiguration of thermoelectric generator array using RIME optimizer to maximize the generated power
The innovation of green and flexible sources of electricity is identified as one of the key
enablers to a more electric-dependent world aiming at meeting the technology needs and …
enablers to a more electric-dependent world aiming at meeting the technology needs and …
A hybrid arithmetic optimization and golden sine algorithm for solving industrial engineering design problems
Q Liu, N Li, H Jia, Q Qi, L Abualigah, Y Liu - Mathematics, 2022 - mdpi.com
Arithmetic Optimization Algorithm (AOA) is a physically inspired optimization algorithm that
mimics arithmetic operators in mathematical calculation. Although the AOA has an …
mimics arithmetic operators in mathematical calculation. Although the AOA has an …
A multi-objective chaos game optimization algorithm based on decomposition and random learning mechanisms for numerical optimization
Abstract Chaos Game Optimization (CGO) is a heuristic optimization approach that
estimates global optima for optimization problems using operators based on chaos theory …
estimates global optima for optimization problems using operators based on chaos theory …
A hybrid teaching–learning slime mould algorithm for global optimization and reliability-based design optimization problems
Slime mould algorithm (SMA) is a novel metaheuristic algorithm with good performance for
optimization problems, but it may encounter premature or low accuracy in complex …
optimization problems, but it may encounter premature or low accuracy in complex …
An enhanced slime mould algorithm based on adaptive grouping technique for global optimization
L Deng, S Liu - Expert Systems with Applications, 2023 - Elsevier
When solving global optimization problems by metaheuristic algorithms (MAs), an important
issue is how to keep a balance between convergence and diversity. This article develops an …
issue is how to keep a balance between convergence and diversity. This article develops an …
An efficient artificial gorilla troops optimizer-based tracker for harvesting maximum power from thermoelectric generation system
The thermoelectric generator (TEG) device opens a new lighted avenue for saving waste
heat by transferring it into electrical energy. Due to the unique features of the TEG systems …
heat by transferring it into electrical energy. Due to the unique features of the TEG systems …
Path planning of autonomous mobile robots based on an improved slime mould algorithm
L Zheng, Y Tian, H Wang, C Hong, B Li - Drones, 2023 - mdpi.com
Path planning is a crucial component of autonomous mobile robot (AMR) systems. The slime
mould algorithm (SMA), as one of the most popular path-planning approaches, shows …
mould algorithm (SMA), as one of the most popular path-planning approaches, shows …