MICFOA: A Novel Improved Catch Fish Optimization Algorithm with Multi-Strategy for Solving Global Problems by Zhihao Fu, Zhichun Li, Yongkang Li, Haoyu Chen

“…Catch fish optimization algorithm (CFOA) is a newly proposed meta-heuristic algorithm based on human behaviors. …”
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Comparative Analysis: Fractional PID vs. PID Controllers for Robotic Arm Using Genetic Algorithm Optimization by Ahmed Eltayeb, Gamil Ahmed, Imil Hamda Imran, Nezar M. Alyazidi, Ahmed Abubaker

“…This paper presents a comparative analysis of a fractional-order proportional–integral–derivative (FO-PID) controller against the standard proportional–integral–derivative (PID) controller, applied to a nonlinear robotic arm manipulator systems. The genetic algorithm (GA) optimization method was implemented to tune the gain parameters of the FO-PID and PID controllers. …”
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Capacity Optimization Method for Photovoltaic Hydrogen Production Systems Based on Multi-Objective Particle Swarm Algorithm by Haotian LU, Shaopeng LIU, Kai WANG

“…[Method] This paper proposed a capacity optimization method for photovoltaic hydrogen production systems based on a multi-objective particle swarm algorithm. …”
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Modified Zebra Optimization Algorithm via Design Operators for Modern Power System Planning Problem Solution by Yunus Balci, Serhat Duman

“…This work presents an advanced optimization framework, which incorporates the Zebra Optimization Algorithm (ZOA) with two new improvement strategies: the FFDB method and OBL strategies. …”
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Design Optimization of a Composite Using Genetic Algorithms for the Manufacturing of a Single-Seater Race Car by Ioannis Tsormpatzoudis, Dimitriοs A. Dragatogiannis, Aimilios Sideridis, Efstathios E. Theotokoglou

“…This study focuses on presenting a framework methodology for minimizing the mass of a race car chassis by calculating an optimal baseline lamination sequence through the modification of the composite material parameters on either side of the aluminum core, using an optimization algorithm (O.A.), finite element (F.E.) analysis, composite mechanics theory, and failure criteria. …”
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A Local Pareto Front Guided Microscale Search Algorithm for Multi-Modal Multi-Objective Optimization by Yinghan Hong, Xiaohui Zheng, Fangqing Liu, Chunyun Li, Guizhen Mai, Dan Xiang, Cai Guo

“…While some algorithms attempt to address local Pareto sets, their performance in the objective space remains suboptimal. …”
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A Self-Adaptive Parameter Optimization Algorithm in a Real-Time Parallel Image Processing System by Ge Li, Xuehe Zhang, Jie Zhao, Hongli Zhang, Jianwei Ye, Weizhe Zhang

“…Aiming at the stalemate that precision, speed, robustness, and other parameters constrain each other in the parallel processed vision servo system, this paper proposed an adaptive load capacity balance strategy on the servo parameters optimization algorithm (ALBPO) to improve the computing precision and to achieve high detection ratio while not reducing the servo circle. …”
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Email Spam Detection Using a Hybrid Approach of Feedforward Neural Network and Penguin Optimization Algorithm by Layth Al-busultan

“…The POA is a powerful optimization algorithm that can perform very well when fine-tuning the weights and biases of a neural network. …”
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Using crafted features and polar bear optimization algorithm for short-term electric load forecast system by Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic

“…PBO was compared with commonly used optimization algorithms like particle swarm optimization (PSO) and genetic algorithm (GA). …”
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Optimizing Virtual Power Plant Performance through Three-Phase Power Flow Analysis and TCAS Algorithm by Meisam Azimi, Mehdi Foroughi, Mohammad Hadi Foroughi, Moein Moeini-Aghtaie, Hossein Yousefi, Mohammad Behzad Hadi

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Integrated Landslide Risk Assessment via a Landslide Susceptibility Model Based on Intelligent Optimization Algorithms by Xin Dai, Jianping Chen, Tianren Zhang, Chenli Xue

“…This study proposes an integrated landslide risk assessment via a landslide susceptibility model based on intelligent optimization algorithms. By simulating the process of rime frost formation, it effectively selects features and assigns weights, overcoming the overfitting issue faced by XGBoost in handling high-dimensional features. …”
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Power System State Estimation through Optimal PMU Placement and Neural Network using Whale Algorithm by SeyedHamed MirMohammadAli Roudaki, Mehrdad Abedi, Iraj Pourkeivani

“…Also, in the present study linear state estimation method accompanied by optimal placement for Phasor Measurement Unit (PMU) for complete observability and artificial neural network (ANN) trained by Whale Optimization Algorithm (WOA) is employed. …”
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Maximizing oil recovery in sandstone reservoirs through optimized ASP injection using the super learner algorithm by Dike Fitriansyah Putra, Mohd Zaidi Jaafar, Ku Muhd Na’im Khalif, Apri Siswanto, Ichsan Lukman, Ahmad Kurniawan

“…This study introduces a novel application of the Super Learner (SL) ensemble, a stacking-based machine learning algorithm integrating multiple base models (XGBoost, SVR, BRR, and Decision Tree), to systematically predict and optimize ASP injection parameters. …”
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Optimal Placement of Leakage Sensors in Urban Gas Networks Based on an Ant Colony Algorithm and System Clustering by Zhewen Sui, Xiaobing Yuan, Baoping Cai, Fangqi Ye, Qingqing Duan, Zhiqiang Zhao, Xiaoyan Shao, Xin Zhou, Zhiming Hu

“…This study introduces an innovative approach that integrates hierarchical clustering with ant colony optimization (ACO) to optimize sensor layouts in urban gas networks. …”
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Optimizing PV Panel Segmentation in Complex Environments Using Pre-Training and Simulated Annealing Algorithm: The JSWPVI by Rui Zhang, Ruikai Hong, Qiannan Li, Xu He, Age Shama, Jichao Lv, Renzhe Wu

“…Finally, a guided filtering algorithm is used to minimize non-edge noise while preserving edge integrity. …”
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Adaptive energy loss optimization in distributed networks using reinforcement learning-enhanced crow search algorithm by S. Bharath, A. Vasuki

“…Unlike traditional methods such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and standard Crow Search Algorithm (CSA), which suffer from premature convergence and limited adaptability to real-time variations, Reinforcement Learning Enhanced Crow Search Algorithm (RL-CSA) which is proposed in this research work solves network reconfiguration optimization problem and minimize energy losses. …”
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Comprehensive Analysis of Trends in Ocean Surface Current by Delineating Kuroshio Extent Using an Optimized Segmentation Algorithm by Mohammed Abdul Athick A.S., Shih-Yu Lee, Chian-Yi Liu

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Multi-Objective Optimization for the Low-Carbon Operation of Integrated Energy Systems Based on an Improved Genetic Algorithm by Yao Duan, Chong Gao, Zhiheng Xu, Songyan Ren, Donghong Wu

“…This paper proposes an improved genetic algorithm (IGA) designed to optimize the multi-objective low-carbon operations of IESs, aiming to minimize both operating costs and carbon emissions. …”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

“…Following that, we implemented Neural Network and Particle Swarm Optimization algorithms. We used precision, accuracy score, recall, and F-Measure tests to evaluate the Neural Network with Particle Swarm Optimization algorithms. …”
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Comparison of Deep Learning Models and Optimization Algorithms in the Detection of Scoliosis and Spondylolisthesis from X-Ray Images by Abdullah Erhan Akkaya, Cengiz Hark, Harun Güneş

“…These architectures are Alexnet, GoogLeNet, ResNet-18, ResNet-50, ResNet-101, and EfficientNet-bo. While working on these deep architectures, each model has been evaluated using different optimization algorithms. …”
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