Elastic Optimization for Stragglers in Edge Federated Learning by Khadija Sultana, Khandakar Ahmed, Bruce Gu, Hua Wang

“…Then, we formulate an optimization problem to be solved at edge devices. We customize a benchmark algorithm, FedAvg, to obtain a new elastic optimization algorithm (FedEN) which is applied in local training of edge devices. …”
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Optimizing music course scheduling with real number encoding and chaos genetic algorithm by Shu Li

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Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

“…Abstract With the continuous growth of global energy demand and the rapid development of renewable energy, traditional energy management systems are facing enormous challenges, especially in the scheduling and optimization of distributed energy. In order to meet these challenges, edge computing and machine learning technology are widely used in the design and optimization of distributed energy management systems. …”
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Systematic Review: Particle Swarm Optimization (PSO) based Load Balancing for Cloud Computing by Darakhshan Syed, Ghulam Muhammad Shaikh, Safdar Rizvi

“… In this modern era cloud computing and widespread use of it have led to a massive spike in users' requests. …”
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Optimizing makespan and resource utilization in cloud computing environment via evolutionary scheduling approach. by Faten K Karim, Sara Ghorashi, Salem Alkhalaf, Saadia H A Hamza, Anis Ben Ishak, S Abdel-Khalek

“…Previous research found that metaheuristics can dramatically increase CC performance if deployed as scheduling algorithms. Therefore, this study develops an evolutionary algorithm-based scheduling approach for makespan optimization and resource utilization (EASA-MORU) technique in the cloud environment. …”
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An interior proximal gradient method for nonconvex optimization by De Marchi, Alberto, Themelis, Andreas

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Hummingbird-Inspired Modified Particle Swarm Optimization for Efficient Task Scheduling in Cloud Computing by Longyang Du, Qingxuan Wang

“…The present research presents an enhanced Particle Swarm Optimization (PSO) algorithm inspired by specific hummingbird flight characteristics, chosen for their exceptional agility and efficiency. …”
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Optimization of Analytical Reconstruction Algorithms for Arbitrary CBCT Trajectory Using Deep Learning by Yuzhong Zhou, Linda-Sophie Schneider, Yipeng Sun, Andreas K. Maier

“…Although iterative methods are a common solution, they require substantial computational time and resources. To address these challenges, this paper proposes two approaches, the first approach enhances the traditional FBP algorithm by using deep learning to train an optimized filter before reconstruction. …”
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Parameter Identification in Triple-Diode Photovoltaic Modules Using Hybrid Optimization Algorithms by Dhiaa Halboot Muhsen, Haider Tarish Haider, Yaarob Al-Nidawi

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New methods and algorithms of the multifunctional optimization for CAE-system of some technological processes by O. I. Chichko

“…There are offered the models and algorithms for solution of the technological tasks, connected with optimization of the melts stream processes in gating systems and also for optimization of the process of the industrial details thermal treatment. …”
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A New Scaled Three-Term Conjugate Gradient Algorithms For Unconstrained Optimization by Zeyad M. Abdullah, Songul A. Asker

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Optimizing Photovoltaic Panel Performance: A Comparative Study of Meta-Heuristic Algorithms by M. Sundar Rajan

“…This method was compared against other well-known algorithms such as Artificial Bee Colony (ABC), Dragonfly Algorithm (DA), Grey Wolf Optimizer (GWO), Cuckoo Search (CS), Composite Grey Wolf Optimizer (CGWO), and the standalone PSO and GWO methods. …”
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Optimization Strategies for Electric Vehicles: A Review of Evolutionary, Swarm, and Hybrid Algorithms by Kumar A. Vijay, Manohar V. Joshi

“…Future research directions include exploring hybrid algorithms and adaptive optimization approaches to further improve EV performance.…”
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On efficiency of methods and algorithms for solving optimization problems considering objective function specifics by E. N. Ostroukh, Yu. O. Chernyshev, L. N. Evich, P. A. Panasenko

“…The estimation of efficiency of methods and algorithms for solving optimization problems with a vector criterion and a set of nonlinear constraints is considered. …”
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Memory-Based Differential Evolution Algorithms with Self-Adaptive Parameters for Optimization Problems by Shang-Kuan Chen, Gen-Han Wu, Yu-Hsuan Wu

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Evaluating the Efficiency of Nature-Inspired Algorithms for Finite Element Optimization in the ANSYS Environment by Antonino Cirello, Tommaso Ingrassia, Antonio Mancuso, Giuseppe Marannano, Agostino Igor Mirulla, Vito Ricotta

“…This study investigates the feasibility and benefits of embedding three prominent metaheuristic algorithms, the Genetic Algorithm (GA), the Firefly Algorithm (FA), and the Group Search Optimizer (GSO) embedded into the ANSYS Parametric Design Language (APDL). …”
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Optimization of Planning Layout of Urban Building Based on Improved Logit and PSO Algorithms by Yun Li, Yanping Chen, Miaoxi Zhao, Xinxin Zhai

“…This paper uses the urban architecture layout big data for building layout optimization using advanced computation techniques. Firstly, a big data collection and storage system based on the Hadoop platform is established. …”
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Quantum optimization algorithms for CT image segmentation from X-ray data by Kyungtaek Jun, Hyunju Lee

“…We expect that the new quantum optimization CT algorithm will bring about great advancements in medical imaging.…”
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Population-Based Redundancy Control in Genetic Algorithms: Enhancing Max-Cut Optimization by Yong-Hyuk Kim, Zong Woo Geem, Yourim Yoon

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Optimization and benefit evaluation model of a cloud computing-based platform for power enterprises by Xueli Yin, Xuguang Zhang, Luyao Pei, Rong Hu, Kaihui Ye, Kangkang Cai

“…It responds to the current lack of systematic optimization mechanisms and evaluation methods in existing cloud computing applications. …”
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