Results 1 to 10 of about 56 (46)

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

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   +5 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

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, Guidan Xu
exaly   +3 more sources

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

Materialpruefung/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 ...
Pranav Mehta, Ali Yıldız, Dildar Gurses   +2 more
exaly   +2 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

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

Techno-Economic Assessment of Optimal Allocation of Solar PV, Wind DGs, and Electric Vehicle Charging Stations in Distribution Networks Under Generation Uncertainty Using CFOA Algorithm

Energies
Uncertainties in generation and dynamic load behavior provide new problems for radial distribution systems (RDS) caused by the growing integration of renewable distributed generators (RDGs), including solar photovoltaic (PV) systems and wind turbines ...
Babita Gupta, Suresh Kumar Sudabattula, Sachin Mishra, Nagaraju Dharavat, Rajender Boddula, Ramyakrishna Pothu   +5 more
doaj   +1 more source

Towards Sustainable Construction: Hybrid Prediction Modeling for Compressive Strength of Rice Husk Ash Concrete

Designs
Rice husk ash (RHA) offers an eco-friendly way to improve concrete. Owing to the complex mix design of RHA concrete, accurately predicting its strength remains a challenge. This study addresses this need by compiling a dataset of 291 compressive strength
Wanling Yang, Yasha Ji, Shengtao Zhou, Ling Ji, Yu Lei, Minhao Wang   +5 more
doaj   +1 more source