Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Monir Abdullah, Samah Al Zanin

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A Multi-Objective Approach for Optimizing Virtual Machine Placement Using ILP and Tabu Search by Mohamed Koubàa, Rym Regaieg, Abdullah S. Karar, Muhammad Nadeem, Faouzi Bahloul

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Optimizing Energy Consumption and Latency in IoT Through Edge Computing in Air–Ground Integrated Network With Deep Reinforcement Learning by Vitou That, Kimchheang Chhea, Jung-Ryun Lee

“…The performance of the proposed algorithm is compared to traditional algorithms, including the Whale Optimization Algorithm (WOA), Gradient Search with Barrier, and Bayesian Optimization (BO). …”
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Optimization of Graphene Oxide’s Characteristics with TOPSIS Using an Automated Decision-Making Process by Javanbakht T.

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An Active-Set Algorithm for Convex Quadratic Programming Subject to Box Constraints with Applications in Non-Linear Optimization and Machine Learning by Konstantinos Vogklis, Isaac E. Lagaris

“…The algorithm is particularly well suited for machine learning, scientific computing, and engineering applications that require solving box constraint QP subproblems efficiently. …”
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Reduction of Energy Consumption in Mobile Cloud Computing by ‎Classification of Demands and Executing in Different Data Centers by H. Yeganeh, A. Salahi, M. A Pourmina

“…By considering a model of the geographical distribution of DCs which uses a wideband optical network, renewable energy and sharing resources for new generations of mobile networks, the real effect of issues on the consumed energy, cost, and profit in the mobile cloud computing are investigated. We derived a penalty function for cost and then by using Lyapunov optimization theorem; we designed an algorithm to minimize the average cost of energy consumption based on the online information in MCC. …”
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Diagnosing schizophrenia with routine blood tests: a comparative analysis of machine learning algorithms by Yavuz Selim Ogur, Ayse Erdogan Kaya, Nur Banu Ogur, Beyza Erdogan Akturk

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African buffalo algorithm: Training the probabilistic neural network to solve classification problems by Mohammed Alweshah, Lobna Rababa, Mohammed Hashem Ryalat, Ammar Al Momani, Mohamed F. Ababneh

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Optimization model of electricity metering management based on MOPSO by Sheng Li, Xiaodan Zhou

“…The study uses Schaffer and Griewank functions to test its performance. The optimized algorithm performed well on both Schaffer and Griewank functions, indicating that the algorithm still had high computational efficiency while ensuring computational accuracy. …”
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An intelligent framework for sarcasm detection in Arabic tweets using deep learning with Al-Biruni earth radius optimization algorithm by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Wafa Sulaiman Almukadi, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

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Optimization of Structures and Composite Materials: A Brief Review by André Ferreira Costa Vieira, Marcos Rogério Tavares Filho, João Paulo Eguea, Marcelo Leite Ribeiro

“…Neural networks (NNs) have revolutionized various fields, including aeronautics where it is applied in computational fluid dynamics, finite element analysis, load prediction, and structural optimization. …”
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Improved firefly algorithm–extended Kalman filter–least-square support-vector machine voltage sag monitoring and classification method based on edge computing by Zhu Liu, Xuesong Qiu, Yonggui Wang, Shuai Zhang, Zhi Li

“…This method fully considers the influence of the limited resources of edge computing equipment on the algorithm, and effectively improves the use of computing resources by improving the optimization algorithm. …”
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Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios by Siqi Li, Weidong Li, Wanbo Zheng, Yunni Xia, Kunyin Guo, Qinglan Peng, Xu Li, Jiaxin Ren

“…Given the limited computational capacity of terminal devices, this paper optimizes the offloading decision-making process between terminal devices and MEC servers. …”
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Fault Localization in Digital Power Distribution Networks Using a Chaotic Binary Particle Swarm Optimization–Enhanced Matrix Algorithm by Li Wan, Wenzhi Cheng

“…This paper introduces a novel fault localization method that synergistically combines a matrix algorithm with a chaotic binary particle swarm optimization (CBPSO) algorithm. …”
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Joint communication and computing resource allocation in vehicular edge computing by Jianan Sun, Qing Gu, Tao Zheng, Ping Dong, Yajuan Qin

“…Then, we study the computation offloading decision problem in this system and propose a novel multi-objective vehicular edge computing task scheduling algorithm which jointly optimizes the allocation of communication and computing resources. …”
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Optimizing knee osteoarthritis severity prediction on MRI images using deep stacking ensemble technique by Punita Panwar, Sandeep Chaurasia, Jayesh Gangrade, Ashwani Bilandi, Dayananda Pruthviraja

“…Further, a Deep stack ensemble technique was employed to achieve optimal performance resulting to the accuracy of 99.71%.…”
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Dynamic decomposition and hyper-distance based many-objective evolutionary algorithm by Xujian Wang, Fenggan Zhang, Minli Yao

“…Abstract Nowadays many algorithms have appeared to solve many-objective optimization problems (MaOPs), yet the balance between convergence and diversity is still an open issue. …”
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A novel meta-heuristic algorithm based on candidate cooperation and competition by Yue Cong, Bingnan Yang, Jie Wei

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Direct methanol fuel cells parameter identification with enhanced algorithmic technique by Manish Kumar Singla, Muhammed Ali S.A, Ramesh Kumar, Hamed Zeinoddini-Meymand, Farhad Shahnia

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A novel approach for simulating and optimizing the production costing system by Mohamed O. Hegazi

“…The proposed method employs a linear programming algorithm to simulate the behavior of production costs and to derive optimal solutions, including cost minimization, resource maximization, and economic returns. …”
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