Results 1 to 10 of about 4,970,174 (161)

MICFOA: A Novel Improved Catch Fish Optimization Algorithm with Multi-Strategy for Solving Global Problems [PDF]

Biomimetics
Catch fish optimization algorithm (CFOA) is a newly proposed meta-heuristic algorithm based on human behaviors. CFOA shows better performance on multiple test functions and clustering problems.
Zhihao Fu, Zhichun Li, Yongkang Li, Haoyu Chen   +3 more
doaj   +7 more sources

Battery box design of electric vehicles using artificial neural network–assisted catch fish optimization algorithm [PDF]

Materials Testing
Abstract In engineering and other fields, metaheuristic algorithms are increasingly used to solve challenging optimization problems. High-dimensional and multimodal issues are complex for traditional optimization techniques, which has led to the development of hybrid metaheuristics that are improved by artificial neural networks (ANNs ...
Dildar Gürses, Pranav Mehta, Sadiq M. Sait, Ali Rıza Yıldız   +3 more
exaly   +4 more sources

A Multi-Strategy Improved Catch Fish Optimization Algorithm for Microgrid Scheduling Optimization and Real-World Engineering Applications

Mathematics
Complex engineering optimization problems are typically characterized by high dimensionality, multimodality, and strong constraints, posing significant challenges to traditional swarm intelligence algorithms in terms of convergence speed, solution ...
Xintian Yu, Yi Fang
doaj   +2 more sources

DenseIncepS115: a novel network-level fusion framework for Alzheimer's disease prediction using MRI images [PDF]

Frontiers in Oncology
One of the most prevalent disorders relating to neurodegenerative conditions and dementia is Alzheimer's disease (AD). In the age group 65 and older, the prevalence of Alzheimer's disease is increasing. Before symptoms showed up, the disease had grown to
Fatima Rauf, Muhammad Attique Khan, Ghassen Ben Brahim, Wardah Abrar, Areej Alasiry, Mehrez Marzougui, Seob Jeon, Yunyoung Nam   +7 more
doaj   +2 more sources

Optimizing Load Frequency Control of Multi-Area Power Renewable and Thermal Systems Using Advanced Proportional–Integral–Derivative Controllers and Catch Fish Algorithm

Fractal and Fractional
Renewable energy sources (RESs) are increasingly combined into the power system due to market liberalization and environmental and economic benefits, but their weather-dependent variability causes power production and demand mismatches, leading to issues
Saleh A. Alnefaie, Abdulaziz Alkuhayli, Abdullah M. Al-Shaalan   +2 more
doaj   +2 more sources

Dispersing-aggregating effect for catch fish optimization: Algorithm design, convergence analysis, and application to medical image segmentation

Journal of Computational Design and Engineering
Abstract Multi-threshold medical image segmentation is essential for extracting diagnostically relevant regions of interest, enabling accurate disease assessment and treatment planning. To improve segmentation performance, this paper introduces an enhanced catch fish optimization algorithm with a dispersing-aggregating effect (CFOA ...
Chiwen Qu, Juchuan Yuan, Yifeng Xuan, Guangyou Lu, Guidan Xu   +4 more
openaire   +4 more sources

Denoising method for partial discharge signals under high frequency working conditions based on CFOA-VMD and multi-scale wavelet thresholding [PDF]

AIP Advances
To address the issues of overlap between high-frequency power supply background noise and partial discharge signals, the reliance on empirical determination of optimization parameters in existing variational mode decomposition (VMD) algorithms, and the ...
Xiaonan Li, Chao Jiang, Wenxu Zhang, Yanhong Chen, Hong Wang, Hongliang Zhang   +5 more
doaj   +1 more source

Enhancing Predictions of Axial Load Capacity with Machine Learning and Optimization Techniques [PDF]

Journal of Artificial Intelligence and System Modelling
Accurate axial load capacity forecasting is crucial in designing, analyzing, and optimizing structural components. The current research introduces a machine learning model that demonstrates improved accuracy and efficiency in prediction through the ...
Heng Zheng
doaj   +1 more source

Optimal power flow in power systems with renewable energy resources uncertainty including geothermal power plants

Ain Shams Engineering Journal
This article proposes an innovative application of the Catch Fish Optimization method (CFOA) to effectively handle the complex Probabilistic Optimal Power Flow (POPF) optimization problem in modern power grids.
Mohamed A.M. Shaheen, Hany M. Hasanien, Ibrahim Alsaleh, Abdullah Alassaf, Miao Zhang, Ayoob Alateeq   +5 more
doaj   +1 more source

Efficient adaptive learning rate for convolutional neural network based on quadratic interpolation egret swarm optimization algorithm

Heliyon
Convolutional neural network (CNN) has recently become popular for addressing multi-domain image classification. However, most existing methods frequently suffer from poor performance, especially in performance and convergence for various datasets ...
Peiyang Wei, Mingsheng Shang, Jiesan Zhou, Xiaoyu Shi   +3 more
doaj   +1 more source