AVOA and ALO Algorithm for Energy-Efficient No-Idle Permutation Flow Shop Scheduling Problem: A Comparison Study by Yolanda Mega Risma, Dana Marsetiya Utama

“…Statistical analysis, in the form of independent sample t-tests, was employed to compare the performance of these algorithms. We found that, while both algorithms yielded similar results in the small case, AVOA demonstrated a superior capability in optimizing the NIPFSP in the medium and large cases and, consequently, in curbing energy consumption. …”
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Finite Element Model Updating for a Continuous Beam-Arch Composite Bridge Based on the RSM and a Nutcracker Optimization Algorithm by Weihua Zhou, Hongyin Yang, Jing Hao, Mengxiang Zhai, Hongyou Cao, Zhangjun Liu, Kang Wang

“…The results indicate that the proposed method reduced the average frequency error from 5.58% to 2.75% by updating the model parameters. While the whale optimization algorithm required 21 iterations and the grey wolf optimizer needed 41 iterations to converge near the minimum, the NOA achieved this in merely 13 iterations, demonstrating the NOA’s superior convergence speed. …”
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Comparative performance evaluation of economic load dispatch using metaheuristic techniques: A practical case study for Bangladesh by Sumaiya Janefar, Prangon Chowdhury, Rahbaar Yeassin, Mahmudul Hasan, Nahid-Ur-Rahman Chowdhury

“…The Economic Load Dispatch (ELD) problem is a critical optimization challenge in power systems, aiming to minimize operational costs while meeting power demand. …”
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Generative design and multi-objective optimization for enhanced building thermal performance by Omar Ain, Husam B. Khalil, Maryam El-Maraghy, Mohamed Marzouk

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Masked face image segmentation using a multilevel threshold with a hybrid fitness function by Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza, Yousef S. Alsahafi, Khalid M. Hosny

“…This algorithm achieved promising results in several optimization tasks, such as masked face segmentation. …”
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Optimizing P-Chart Performance Using a Percentage-Based Framework: Application to Nonconforming Items in the Manufacturing Sector by Zahid Khan, Aamir Saghir, Attila I. Katona, Zsolt T. Kosztyan

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A metaheuristic optimization framework inspired by virus mutations and its ability to optimize the structural design of 2D and 3D steel frames compared to other methods by Mehdi Ghasri, Hamid Reza Karimi, Abdolhamid Salarnia

“…The algorithm’s efficacy is evaluated through three benchmark problems, two planar (2D) frames and a three-dimensional (3D) space frame, with comparisons against established methods (e.g., particle swarm optimization, cuckoo search) and contemporary algorithms (e.g., marine predators algorithm, pelican optimization algorithm). …”
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Energy-Optimized Path Planning and Tracking Control Method for AUV Based on SOC State Estimation by Guangyi Yang, Zhenning Xu, Feng Wang, Xiaoyu Zhang

“…This paper proposes a path planning and trajectory tracking control framework for autonomous underwater vehicles (AUVs) combined with battery state of charge (SOC) optimization. The framework incorporates the Grasshopper Optimization Algorithm (GOA) with the Artificial Potential Field Algorithm (APF) to achieve global path planning and local path optimization while minimizing energy consumption as an objective. …”
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Optimization of OPM-MEG Layouts with a Limited Number of Sensors by Urban Marhl, Rok Hren, Tilmann Sander, Vojko Jazbinšek

“…We applied a sequential selection algorithm (SSA), originally developed for body surface potential mapping in electrocardiography, which requires a large database of full-head MFMs. …”
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Multi-objective coordinated control and optimization for photovoltaic microgrid scheduling by Da Yu, Kai Hou, Xu Lin, Guoyang Cai, Xin Shan, Weihua Wang

“…This paper proposes a multi-objective coordinated control and optimization system for PV microgrids. To address the challenges of slow convergence and local optima in traditional PV microgrid scheduling methods, this study introduced an improved multiple objective particle swarm optimization (IMOPSO) algorithm that integrates an adaptive inertia weight adjustment strategy based on optimal similarity and a multi-directional iterative Pareto solution archive update mechanism. …”
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Mixed Multi-Strategy Improved Aquila Optimizer and Its Application in Path Planning by Tianyue Bao, Jiaxin Zhao, Yanchang Liu, Xusheng Guo, Tianshuo Chen

“…Traditional Aquila Optimizers, while effective, face limitations such as uneven population initialization, a tendency to get trapped in local optima, and slow convergence rates. …”
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Dynamic Modeling and Parameter Optimization of Potato Harvester Under Multi-Source Excitation by Jianguo Meng, Zhipeng Li, Zheng Li, Yanzhou Li, Wenxia Xie

“…On this basis, the Bayesian optimization algorithm was used to obtain optimal connection parameters. …”
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Construction of Prioritized T-Way Test Suite Using Bi-Objective Dragonfly Algorithm by Mashuk Ahmed, Abdullah B. Nasser, Kamal Z. Zamli

“…For improving the software testing technology, the t-way testing technique combined with metaheuristic algorithm has been great to analyze a large number of combinations for getting optimal solutions. …”
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Exploring the effectiveness of adaptive randomized sine cosine algorithm in wind integrated scenario based power system optimization with FACTS devices by Sunilkumar P. Agrawal, Pradeep Jangir, Arpita, Sundaram B. Pandya, Anil Parmar, Ahmad O. Hourani, Bhargavi Indrajit Trivedi, Mohammad Khishe

“…The results of these experiments show faster convergence and consistent solution accuracy compared to benchmark algorithms such as Sine Cosine Algorithm (SCA), Improved Grey Wolf Optimization (IGWO), Whale Optimization Algorithm (WOA), and others. …”
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A two-stage robust optimization for EV user-friendly VPP participation in ancillary service markets by Yu Wang, Xiangrui Tong, Yiheng Xie, Bing Chen, Ning Tong, Xiaomei Wu

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Structural Optimization-Based Enhancement of the Dynamic Performance for Horizontal Axis Wind Turbine Blade by Ahmed Zarzoor, Alaa Jaber, Ahmed Shandookh

“…It employs a complex optimization framework that combines aerodynamics and structural analysis via MATLAB and a genetic algorithm. …”
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An application of Arctic puffin optimization algorithm of a production model for selling price and green level dependent demand with interval uncertainty by Hachen Ali, Md. Al-Amin Khan, Ali Akbar Shaikh, Adel Fahad Alrasheedi, Seyedali Mirjalili

“…Furthermore, seven other algorithms (Dandelion Optimizer (DO), Grey wolf optimizer (GWO), The whale optimization algorithm (WOA), Artificial electric field algorithm (AEFA), Harris hawks optimization (HHO), Multi-verse optimizer (MVO) and Slime mould algorithm (SMA)) are used to compare the obtained solution from APO. …”
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Optimization of Multi-Energy Grid Integration and Energy Storage in Low-Carbon Power Systems Based on the TCM-MBZOA Algorithm: A Case Study of Yunnan Province by Yang Li, Guoen Zhou, Jiaqi Xue, Junwei Yang, Shi Yin

“…To address this limitation, this paper proposes a multi-source coordinated optimization strategy based on a bi-level programming model and an improved tent chaotic mapping-memory backtracking zebra optimization algorithm (TCM-MBZOA). …”
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Optimizing the Location of 5G Network Base Stations Taking into Account Intra-System Interference by Serhii Siden, Roman Tsarоv, Mohammed Jamal Salim, Kateryna Shulakova, Saad Malik Talha, Liliia Bodnar

“…A method is proposed for determining the number and optimal spatial coordinates of BSs in indoor environments, such as shopping malls or telemedicine centers, under random user distribution to ensure maximum coverage and network throughput while explicitly accounting for intra-system interference. …”
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Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints by Haiying Sun, Mingdan Li, Tianhui Fan, Chenzhi Cai

“…By defining constraint areas, the optimization process ensures that FOWTs are optimally positioned while avoiding interference and collisions. …”
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