Optimizing aerodynamic shape of benchmark problems using an improved Gaussian process regression algorithm by Youtao Xue, Yuxin Yang, Shaobo Yao, Wenwen Zhao, Lihua Chen

“…The current challenges encountered in Surrogate-Based Optimization (SBO) primarily stem from the substantial number of function calls essential for accurate evaluations. …”
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Publisher Correction: Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing by Mohamed Kmich, Inssaf Harrade, Hicham Karmouni, Mhamed Sayyouri, S. S. Askar, Mohamed Abouhawwash

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A Coevolutionary Algorithm Based on Constraints Decomposition for Constrained Multi-objective Optimization Problems by Guangpeng Li, Li Li, Guoyong Cai

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Synergizing NOMA and energy harvesting in full duplex mobile edge computing for optimized energy efficiency by Mirza Baber Baig, Taoshen Li, Muhammad Zain Yousaf, Mohit Bajaj, Arvind R. Singh, Milkias Berhanu Tuka

“…The primary objective is to optimize edge computing performance while minimizing energy consumption. …”
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Federated Learning With Sailfish-Optimized Ensemble Models for Anomaly Detection in IoT Edge Computing Environment by Aravam Babu, A. Bagubali

“…To overcome this, the Sailfish Optimization Algorithm (SFO) is incorporated to fine-tune the Isolation Forest model’s parameters dynamically, balancing exploration and exploitation. …”
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Joint Optimization of Task Completion Time and Energy Consumption in UAV-Enabled Mobile Edge Computing by Hanwen Zhang, Tao Chen, Bangbang Ren, Ruozhe Li, Hao Yuan

“…Additionally, we draw on the concept of maximum completion time in shop-floor scheduling to optimize the actual response latency. To this end, we propose a joint optimization algorithm. …”
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Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions by YiFan Chen, Weng Howe Chan, Eileen Lee Ming Su, Qi Diao

“…This article presents a systematic literature review (SLR) of 117 peer-reviewed studies published between 2015 and 2025, assessing the evolution, classification, and performance of MOO techniques in smart-city contexts. Existing algorithms are organised into four families—bio-inspired, mathematical theory-driven, physics-inspired, and machine-learning-enhanced—and benchmarked for computational efficiency, scalability, and scenario suitability across six urban domains: infrastructure, energy, transportation, Internet of Things (IoT)/cloud systems, agriculture, and water management. …”
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Calculation of Neural Network Weights and Biases Using Particle Swarm Optimization by Jerin Paul Selvan, Girish Pandurang Potdar

“…The neural network is assisted in performing exploration and exploitation using a variety of techniques. Among them are algorithms with biological inspiration. By using a different approach, bio-inspired computing can be distinguished from other traditional algorithms. …”
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A Practical Performance Benchmark of Post-Quantum Cryptography Across Heterogeneous Computing Environments by Maryam Abbasi, Filipe Cardoso, Paulo Váz, José Silva, Pedro Martins

“…The emergence of large-scale quantum computing presents an imminent threat to contemporary public-key cryptosystems, with quantum algorithms such as Shor’s algorithm capable of efficiently breaking RSA and elliptic curve cryptography (ECC). …”
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An efficient metaheuristic optimization algorithm for optimal power extraction from PV systems under various weather and load-changing conditions by Md.Al Imran Fahim, Md.Salah Uddin Yusuf, Monira Islam, Munshi Jawad Ibne Azad

“…To address these challenges, a new algorithm called horse herd optimization (HHO) has been applied to the maximum power point tracking (MPPT) controller. …”
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Gutek: Intelligent Revision Algorithms by Lukasz Galka

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Scatter Search for Optimal Sizing of a Hybrid Renewable Energy System for Scheduling Green Hydrogen Production by Andrés Cacereño, Begoña González Landín, Antonio Pulido, Gabriel Winter, José Andrés Moreno

“…The implementation is competitive in terms of performance when compared to, on the one hand, the genetic algorithm and differential evolution methods, which are well-known state-of-the-art evolutionary algorithms, and, on the other hand, the optimal foraging algorithm (OFA), a more recent algorithm. …”
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Mathematical Background and Algorithms of a Collection of Android Apps for a Google Play Store Page by Roland Szabo

“…All applications are fundamentally based on mathematical modeling and algorithmic effectiveness, emphasizing computational approaches over implementation specifics.…”
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GENETIC SOLUTION METHODS FOR PROBLEM OF STORES SHIPMENT OPTIMAL PLANNING by Alina V. Basova, Pavel G. Belyavskiy

“…A genetic algorithm for solving the optimization problem of stores shipment is developed. …”
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Optimal sizing of hybrid renewable energy systems relying on the black winged kite algorithm for performance evaluation by Sarada Mohapatra, Deepa Kaliyaperumal, T. Porselvi, S. V. Tresa Sangeetha, Roobaea Alroobaea, Ahmed Emara

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Innovative quantum techniques for improving system performance in cloud computing by Naher M. Alsafri, Ahmed Y. Hamed, A. Mindil, M.R. Hassan

“…Effective task scheduling is pivotal for optimizing the performance of cloud computing services, particularly to minimize execution time and enhance resource utilization. …”
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Optimal Design of Steel Structures Using Innovative Black Widow Algorithm Hybridized with Greedy Sensitivity-Based Particle Swarm Optimization Technique by Mohammad Reza Ghasemi, Abdolhamid Salarnia, Mehdi Ghasri

“…As a meta-heuristic method in the second stage, the recently introduced Black Widow Optimization (BWO) algorithm was selected and improved by the authors. …”
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Efficient Task Scheduling in Cloud Computing: A Multiobjective Strategy Using Horse Herd–Squirrel Search Algorithm by V. Parthasaradi, A. Karunamurthy, C. H. Hussaian Basha, S. Senthilkumar

“…The objective is to provide an enhanced task scheduling algorithm for allocating the task of the user to different computing resources. …”
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Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection by Karim Gasmi, Abdulrahman Alyami, Omer Hamid, Mohamed O. Altaieb, Osama Rezk Shahin, Lassaad Ben Ammar, Hassen Chouaib, Abdulaziz Shehab

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Efficient parameter extraction in PV solar modules with the diligent crow search algorithm by Mostafa Jabari, Morteza Azimi Nasab, Mohammad Zand, Lilia Tightiz, Sanjeevikumar Padmanaban, Juan C. Vasquez Q

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