Analysis of Optimal Portfolio Formation Using Multi-Objective Optimization Method and Nadir Compromise Programming by Randa Resvitasari Aliwu, Emli Rahmi, Agusyarif Rezka Nuha, Lailany Yahya, Djihad Wungguli, Armayani Arsal

“…This research aims to create an optimal portfolio using the Multi-Objective Optimization method and the Nadir Compromise Programming (NCP) method. …”
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WOAIP: Wireless Optimization Algorithm for Indoor Placement Based on Binary Particle Swarm Optimization (BPSO) by Omar S. Naif, Imad J. Mohammed

“…This study proposes and investigates a multi-level optimization algorithm called Wireless Optimization Algorithm for Indoor Placement (WOAIP) based on Binary Particle Swarm Optimization (BPSO). …”
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Multi-task snake optimization algorithm for global optimization and planar kinematic arm control problem by Qingrui Li, Yongquan Zhou, Qifang Luo

“…Multi-task optimization (MTO) algorithms aim to simultaneously solve multiple optimization tasks. …”
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A Gradient-Based Optimization Algorithm for Optimal Control Problems With General Conformable Fractional Derivatives by Essia Ben Alaia, Slim Dhahri, Omar Naifar

“…Overall, the proposed framework broadens the applicability of gradient-based optimization to a wider class of fractional-order systems, enhancing both performance and flexibility, with future work aimed at convergence analysis and real-world implementation.…”
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Performance of pelican optimizer for energy losses minimization via optimal photovoltaic systems in distribution feeders. by Zuhair Alaas, Ghareeb Moustafa, Hany Mansour

“…This research introduces the Pelican Optimizer (PO) algorithm to optimally integrate solar PV systems to radial electrical distribution grids. …”
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APPLICATION OF QUADRATIC PROGRAMMING ON PORTFOLIO OPTIMIZATION USING WOLFE’S METHOD AND PARTICLE SWARM OPTIMIZATION ALGORITHM by Syaripuddin Syaripuddin, Fidia Deny Tisna Amijaya, Wasono Wasono, Shanaz Tulzahrah, Rara Suciati

“…In this research, the classical method uses Wolfe’s method, while the heuristic method uses the particle swarm optimization (PSO) algorithm. This research aims to determine optimal results in portfolio problems using two methods, namely Wolfe’s method and the PSO algorithm. …”
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Research on multi-stage optimization planning of power internet of things based on seagull optimization algorithm by Peng Ye, Guanxian Liu, Shuo Yang, Shaotao Guo, Huan Wang, Yi Zhao, Mingli Zhang

“…This study proposes a multi-stage IES planning method aimed at enhancing both energy efficiency and the economic performance of IES. …”
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Optimizing Semantic-Aware Video Compression Using Particle Swarm Optimization Technique for Automotive Applications by Vadivel Shanmugam, B. Uma Maheswari

“…This popular and fast-developing technology aims to increase vehicle safety through various sensors and advanced-level Artificial Intelligence (AI)- based algorithms. …”
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Improved grey wolf optimizer for optimal reactive power dispatch with integration of wind and solar energy by F. Laouafi

“…The aim of this paper is to present a new improved grey wolf optimizer (IGWO) to solve the optimal reactive power dispatch (ORPD) problem with and without penetration of renewable energy resources (RERs). …”
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Enhancing Multi-Objective Optimization: A Decomposition-Based Approach Using the Whale Optimization Algorithm by Jorge Ramos-Frutos, Angel Casas-Ordaz, Saúl Zapotecas-Martínez, Diego Oliva, Arturo Valdivia-González, Abel García-Nájera, Marco Pérez-Cisneros

“…Optimization techniques aim to identify optimal solutions for a given problem. …”
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An improved dung beetle optimizer based on Padé approximation strategy for global optimization and feature selection by Tianbao Liu, Lingling Yang, Yue Li, Xiwen Qin

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Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems by Marwa M. Emam, Mosa E. Hosney, Reham R. Mostafa, Essam H. Houssein

“…These findings affirm the potential of mHLOA as a powerful optimization framework for advanced feature selection and complex optimization problems.…”
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Optimizing Medical Pretreatment for Balloon Pulmonary Angioplasty: Overshoot or Stride Toward Optimal Multimodal Treatment by D. P. Staal, F. J. vanLeusden, M. C. J. vanThor, J. Peper, B. J. M. W. Rensing, J. P. vanKuijk, B. J. M. Mulder, D. van denHeuvel, K. A. Boomars, S. Boerman, J. J. Mager, M. C. Post

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Evaluating the contribution of operation triple zero to HIV viral load suppression and retention among the adolescents in TASO Uganda using RE-AIM framework: a before and after imp... by Bonniface Oryokot, Abraham Ignatius Oluka, David Kagimu, Yunus Miya, Saadick Mugerwa Ssentongo, Catherine Achola, Abubaker Kawuba, Twaha Mafabi, Charles Odoi, Baker Bakashaba, Kenneth Mugisha, Michael Bernard Etukoit, Eleanor Namusoke-Magongo

“…Abstract Introduction Adolescents living with HIV (ALHIV) aged 10–19 years endure sub-optimal viral load suppression (VLS) and retention in care in many settings. …”
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Optimal Design of Multiband Microstrip Antennas by Self-Renewing Fitness Estimation of Particle Swarm Optimization Algorithm by Xiaohong Fan, Yubo Tian, Yi Zhao

“…Aiming to keep the right direction of evolution, the prediction model will be proofed every N generation during the optimization process. …”
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Multiobjective optimization of suspension bridges via coupled modeling and dual population multiobjective particle swarm optimization by Peiling Yang, Jianhua Deng, Anli Wang

“…This method is integrated with traditional finite element (FE) modeling to increase the efficiency of FE modeling during the optimization process. A multi-objective optimization model for suspension bridges is presented, which uses layout and dimension parameters as design variables while aiming to reduce cumulative material costs and improve the safety factor, under the premise of meeting design requirements. …”
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Forecasting Influenza Trends Using Decomposition Technique and LightGBM Optimized by Grey Wolf Optimizer Algorithm by Yonghui Duan, Chen Li, Xiang Wang, Yibin Guo, Hao Wang

“…This paper seeks to improve the prediction accuracy of influenza-like illness (ILI) proportions by proposing a novel predictive model that integrates a data decomposition technique with the Grey Wolf Optimizer (GWO) algorithm, aiming to overcome the limitations of current prediction methods. …”
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Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals by Ruth Keziah Mani, Balakrishnan Nagaraj

“…By leveraging GWO for hyperparameter optimization, the study aims to achieve more accurate diagnosis and efficient tracking of rehabilitation outcomes for patients with neuromuscular disorders. …”
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Residual Chlorine Modeling Sensitivity to Different Decay Models in Optimized and Non-Optimized Water Distribution Networks by Sergio Serrano, Laura González, Valeria Rodríguez, Juan Saldarriaga

“…The purpose of this study is to evaluate chlorine decay in 17 networks, comparing optimal and non-optimal designs, with the aim of defining if optimized designs lead to lower chlorine consumption in the networks. …”
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The Constraint Function Response Shifting Scalar-Based Optimization Method for the Reliability-Based Dynamic Optimization Problem by Ping Qiao, Qi Zhang, Yizhong Wu

“…This work aims to improve the reliability of dynamic systems by eliminating the effect of random control variables. …”
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