Results 41 to 50 of about 24,415 (308)
Slime Mould Algorithm-Based Tuning of Cost-Effective Fuzzy Controllers for Servo Systems
International Journal of Computational Intelligence Systems, 2021 This paper suggests five new contributions with respect to the state-of-the-art. First, the optimal tuning of cost-effective fuzzy controllers represented by Takagi–Sugeno–Kang proportional-integral fuzzy controllers (TSK PI-FCs) is carried out using a ...
Radu-Emil Precup +4 more
doaj +1 more source
IET Networks, EarlyView., 2023 We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh +4 more
wiley +1 more source
Improved metaheuristic algorithms for metabolic network optimization [PDF]
, 2019 Metaheuristic algorithms have been used in various domains to solve the optimization problem. In metabolic engineering, the problem of identifying near-optimal reactions knockout that can optimize the production rate of desired metabolites are hindered ...
Zakaria, Z. +4 more
core +1 more source
Multiclass feature selection with metaheuristic optimization algorithms: a review
, 2022 Selecting relevant feature subsets is vital in machine learning, and multiclass feature selection is harder to perform since most classifications are binary.
Akinola, Olatunji O. +7 more
core +1 more source
Review of Metaheuristic Optimization Algorithms for Power Systems Problems [PDF]
, 2023 Metaheuristic optimization algorithms are tools based on mathematical concepts that are used to solve complicated optimization issues. These algorithms are intended to locate or develop a sufficiently good solution to an optimization issue, particularly ...
Nassef, Ahmed M. +7 more
core +1 more source
Real-World Applications of Metaheuristic Algorithms: A Comprehensive Review of the State-of-the-Art
Diyala Journal of Engineering SciencesMetaheuristic algorithms have gained significant acceptance in large areas of optimization, giving unique and novel solutions to complicated problems across various areas.
Dler O. Hasan, Aso Aladdin
doaj +1 more source
Optimizing EMG Classification through Metaheuristic Algorithms
Technologies, 2023 This work proposes a metaheuristic-based approach to hyperparameter selection in a multilayer perceptron to classify EMG signals. The main goal of the study is to improve the performance of the model by optimizing four important hyperparameters: the ...
Marcos Aviles +2 more
doaj +1 more source
A hybrid chemical reaction optimization scheme for task scheduling on heterogeneous computing systems [PDF]
, 2015 An application consisting of a group of tasks can be represented by a node- and edge-weighted directed acyclic graph (DAG), in which the vertices represent the computations and the directed edges represent the data dependencies as well as the ...
Xu, Yuming +4 more
core +1 more source
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source