Improved ant colony algorithm based cloud computing user task scheduling algorithm by Sining LUO, Hualong WANG, Hongyu LI, Wei PENG

“…In recent years,with the development of power information,more and more power applications and tasks are deployed in the cloud.Because of the dynamic heterogeneity of cloud resources and power applications,it is a challenge in the cloud computing system to realize resource division and task scheduling.Power applications need to be able to achieve a rapid response and minimum completion time,and schedulers should consider the load of each cloud computing node to ensure the reliability of cloud computing.A task scheduling algorithm based on the algorithm of improving an ant colony was proposed to solve the problem of task scheduling in virtual machines.Through the improvement of the standard ant colony algorithm,the task scheduling time was reduced and load balancing was realized while minimizing the overall completion time.The results show that the algorithm can shorten the task scheduling time and realize the load balancing of cloud nodes,which provides technical basis for the optimization of power cloud computing.…”
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Comparison of Dynamic Programming Algorithm and Greedy Algorithm on Integer Knapsack Problem in Freight Transportation by Global Ilham Sampurno, Endang Sugiharti, Alamsyah Alamsyah

“…The purpose of this research is to know how to get optimal solution result in solving Integer Knapsack problem on freight transportation by using Dynamic Programming Algorithm and Greedy Algorithm at PT Post Indonesia Semarang. …”
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A high-entropy image encryption scheme using optimized chaotic maps with Josephus permutation strategy by Nawal El Ghouate, Mohamed Amine Tahiri, Ahmed Bencherqui, Hanaa Mansouri, Ahmed El Maloufy, Hicham Karmouni, Mhamed Sayyouri, Sameh Askar, Mohamed Abouhawwash

“…This algorithm uses Kepler Chaotic Optimisation Algorithm (CKOA) to select the most suitable chaotic maps, guaranteeing optimal diffusion and complex pixel confusion. …”
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From Concept to Market: Ensemble Predictive Model for Research Project Crowdfunding Readiness by Andreea Cristina Ionica, Stanislav Cseminschi, Monica Leba

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Active Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm Optimization by Haiming NIU, Jiao YU, Changfu DING, Zhaohui WANG, Bin TIAN

“…At the same time, the multi-objective particle swarm optimization algorithm is used to optimize the parameters in the control loop. …”
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High-Efficiency Wireless Power Transfer for Electric Vehicles: A Coil Geometry and PSO-Based Optimization Framework by Tarek S. Hassan, Mohamed M. Zakaria Moustafa, Nabil H. Abbasy

“…This model is integrated with a PSO algorithm to maximize the power transfer efficiency (PTE) by identifying the optimal coil geometry. …”
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A constructal theory framework for optimizing HRSG design: Enhancing thermal performance and cost-effectiveness by Morteza Mehrgoo, Majid Amidpour

“…This study utilizes Constructal Theory and genetic algorithms to formulate a comprehensive optimization framework for selecting the appropriate type of Heat Recovery Steam Generator (HRSG) in combined cycle power plants. …”
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Structural Properties of Optimal Maintenance Policies for <i>k</i>-out-of-<i>n</i> Systems with Interdependence Between Internal Deterioration and External Shocks by Mizuki Kasuya, Lu Jin

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The Mode of Constructing Safe Trajectories of Motion of the Unmanned Aerial Vehicle while Monitoring Power Lines Considering the Influence of their Electromagnetic Fields by Shabanova A.R., Tolstoy I.M., Lebedev I.V.

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Moldrug algorithm for an automated ligand binding site exploration by 3D aware molecular enumerations by Alejandro Martínez León, Benjamin Ries, Jochen S. Hub, Aniket Magarkar

“…Moldrug explores the chemical space using structural modifications suggested by the CReM library and by optimizing an adaptable fitness function with a genetic algorithm. …”
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A Framework for Multi-Objective Optimization in Energy Retrofit of Heritage Museums: Enhancing Preservation, Comfort, and Conservation Conditions by Camila Gea-Salim, Silvana Flores-Larsen, Marcos Hongn, Silvina Gonzalez

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Harmonized Integration of GWO and J-SLnO for Optimized Asset Management and Predictive Maintenance in Industry 4.0 by A. N. Arularasan, P. Ganeshkumar, Mohammad Alkhatib, Tahani Albalawi

“…The study encompasses the application of two different advanced optimization algorithms on asset management and predictive maintenance in Industry 4.0—Grey Wolf Optimization and Jaya-based Sea Lion Optimization (J-SLnO). …”
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Optimized smart home energy management system: Reducing grid consumption and costs through real-time pricing and hybrid architecture by Abdelrahman O. Ali, Mohamed R. Elmarghany, Ahmed M. Hamed, Mohamed Nabil Sabry, Mohamed M. Abdelsalam

“…The Home Energy Management Whale Optimization Algorithm (HEMWOA) was employed to optimize energy usage and achieve cost reduction while enhancing user comfort. …”
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Enhancing Smart Microgrid Resilience and Virtual Power Plant Profitability Through Hybrid IGWO-PSO Optimization With a Three-Phase Bidding Strategy by T. Yuvaraj, T. Sengolrajan, Natarajan Prabaharan, K. R. Devabalaji, Akie Uehara, Tomonobu Senjyu

“…A hybrid improved grey wolf optimization-particle swarm optimization (IGWO-PSO) algorithm is developed to solve this complex optimization problem. …”
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A Fused Multiscale Pictorial Sequence Learning Mechanism Applied to Pavement Detection by Zhang Jiazhen, Wang Xiulai, Zhao Shuxu

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Optimum sizing of hybrid sustainable and renewable energy systems using a modified harris hawks optimizer by Djamel Eddine Sifou, Aissa Kheldoun, Ahmed Chaib, Hamza Belmadani, Hisham Alharbi, Saleh S. Alharbi, Takele Ferede Agajie, Sherif S.M. Ghoneim

“…To boost the use of renewable energy sources while maintaining reliability and affordability, Multi-source renewable and sustainable energy systems must be optimally sized. …”
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Comprehensive MILP Formulation and Solution for Simultaneous Scheduling of Machines and AGVs in a Partitioned Flexible Manufacturing System by Cheng Zhuang, Jingbo Qu, Tianyu Wang, Liyong Lin, Youyi Bi, Mian Li

“…The main objective is to numerically optimize the simultaneous scheduling of machines and AGVs while considering various workshop layouts and operational constraints. …”
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HFSA: hybrid feature selection approach to improve medical diagnostic system by Asmaa H. Rabie, Mohammed Aldawsari, Ahmed I. Saleh, M. S. Saraya, Metwally Rashad

“…In FS, chi-square, as a filtering methodology, is applied to quickly select the best features while Hybrid Optimization Algorithm (HOA), as a wrapper methodology, is applied in AS to accurately select features. …”
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Dynamic Stepsize Techniques in DR-Submodular Maximization by Yanfei Li, Min Li, Qian Liu, Yang Zhou

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Predicting Tropical Cyclone Extreme Rainfall in Guangxi, China: An Interpretable Machine Learning Framework Addressing Class Imbalance and Feature Optimization by Yuexing Cai, Cuiyin Huang, Fengqin Zheng, Guangtao Li, Sheng Lai, Liyun Zhu, Qiuyu Zhu

“…A total of 202 experiments were conducted to comprehensively evaluate the framework's performance. Genetic Algorithm (GA) optimization and Shapley additive explanations (SHAP) were utilized to identify the optimal subsets of features and accurately quantify the contributions of each variable. …”
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