Optimization and decision making problems in various fields of engineering have a major impact in this current era. Processing time and utilizing memory is very high for the currently available data. This is due to its size and the need for scaling from zettabyte to yottabyte. Some problems ...
the need for more effective optimization algorithms has increased. Metaheuristic algorithms (MAs) are high-level methods that have been presented for this purpose in the last few decades. In this paper, firstly a complete review of various groups of MAs is presented ...
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms. pythonoptimizationartificial-intelligencemeta-heuristicoptimizersbioinspiredmeta-heuristic-optimization UpdatedAug 18, 2024 Python cantugba/Karga_Arama_Algoritmasi-CSA ...
To show the advantages of using PSOGSA that trains NNs, this algorithm is compared with other meta-heuristic algorithms such as particle swarm optimization ... S Afrakhteh,MR Mosavi,M Khishe,... - 《International Journal of Automation & Computing》 被引量: 0发表: 2020年 Accurate Classificatio...
On the other hand, the optimization effect of some meta-heuristic optimization algorithms vary greatly in different objective functions. The convergence effect is very good in some objective functions, but almost no convergence in some other objective functions, which will cause very serious trouble. ...
First, the optimization algorithm is applied to floorplan the modules within a voltage-island then it is used to floorplan the voltage-islands in an optimal way. A music-inspired harmony search algorithm and echo-location based bat algorithm are used as the meta-heuristic optimization algorithms. ...
Enhancing Two-Phase Supply Chain Network Distribution via Three Meta-Heuristic Optimization Algorithms Subsidized by Mathematical Procedures Supply Chain Networks Distribution (SCND) topology aims to find the best position and size for facilities to ensure optimal products flow based on the Math... AM ...
In addition, the results have shown a high convergence rate compared with conventional optimization algorithms. It demonstrates the noticeable effectiveness of the presented method. 展开 关键词: Meta-heuristic algorithm Multi-fidelity modeling Metamodeling Engineering optimization 会议名称: International ...
Momentum search algorithm: a new meta-heuristic optimization algorithm inspired by momentum conservation lawOptimizationHeuristic optimization algorithmsMomentum search algorithmLaw of conservation of momentumA novel optimization methodology, Momentum Search Algorithm (MSA) is presented based on Newton's laws: ...
Meta-heuristic optimization algorithms Meta-heuristic algorithms have used a pivotal role in tackling a wide range of non-linear optimization problems both constrained and unconstrained, across various engineering domains. These optimization algorithms are designed to find approximate solutions of the problems...