Impact of Network Configuration on Hydraulic Constraints and Cost in the Optimization of Water Distribution Networks by Mojtaba Nedaei

“…The research focuses on designing and optimizing various WDN configurations while adhering to hydraulic constraints. …”
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Optimization of grid-connected hybrid renewable energy system for the educational institutes in Pakistan by Mirza Abdullah Rehan

“…The outcomes of the simulation seem more viable based on sensitivity analysis, as the cost of energy (COE) for an energy system with a hybrid combination is 0.13 $/kWh, meanwhile energy price with the grid system is 0.18 $/kWh. …”
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Hybrid Gradient Descent Grey Wolf Optimizer for Machine Learning Performance Enhancement by Sri Rossa Aisyah Puteri Baharie, Sugiyarto Surono, Aris Thobirin

“…Advancements in machine learning have enabled the development of more accurate and efficient health prediction models. …”
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Optimal Allocation and Sizing of Electrical Substations Using an Improved Black Widow Algorithm by Nathan de Oliveira Valim, Clainer Bravin Donadel

“…The results showed that the GA mutation consistently outperformed the original mutation in more complex scenarios, reducing total costs by up to 14.75%. …”
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Optimizing Well Selection in Hydraulic Fracturing Using Advanced Machine Learning Approaches by Hai T. Nguyen, Tarek Al-Arbi Ganat, Tu V. Truong

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Big data-based optimized model of building design in the context of rural revitalization by Wang Lei

“…Therefore, the backbone multi-objective particle swarm optimization algorithm has better performance and is more suitable for optimizing building energy consumption.…”
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Optimized deep neural network architectures for energy consumption and PV production forecasting by Eghbal Hosseini, Barzan Saeedpour, Mohsen Banaei, Razgar Ebrahimy

“…This paper introduces a novel hybrid optimization approach that integrates Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) to enhance the DNN architecture for more accurate energy forecasting. …”
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Optimization of EMS Station Layout Based on a New Decision Support Framework by Peng Yang, Bozheng Zhang, Jingrong Yang

“…Through this robustness analysis, the effectiveness and reliability of the decision framework are demonstrated, offering more efficient and reliable support for the EMS system.…”
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Training of the feed-forward artificial neural networks using butterfly optimization algorithm by Şaban Gülcü, Büşra Irmak

“…More importantly, they get stuck within the local optimum and produce poor-quality solutions. …”
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A BEM Adjoint-Based Differentiable Shape Optimization of a Stealth Aircraft by Charles Thoulon, Gilbert Roge, Olivier Pironneau

“…By avoiding the need for solving the actual adjoint problem in certain cases, our formulation provides a more streamlined solution while still maintaining high accuracy. …”
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Balanced dung beetle optimization algorithm based on parameter substitution and escape strategy by Chen-Xu Tian, Yu-Xuan Li

“…Abstract Dung Beetle algorithm is an intelligent optimization algorithm with advantages in exploitation ability. …”
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Formulation and evaluation of ocean dynamics problems as optimization problems for quantum annealing machines. by Takuro Matsuta, Ryo Furue

“…We use the Stommel problem, which is not an NP problem and therefore does not benefit from QA today, just as an example, a first step in exploring QA for more intricate problems governed by the Navier-Stokes equations. …”
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Deep Q-Network-Enhanced Self-Tuning Control of Particle Swarm Optimization by Oussama Aoun

“…However, when dealing with more complex optimization problems, PSO can suffer from premature convergence and may become stuck in local optima. …”
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Multiclass dynamic emergency traffic collaborative assignment with parallel two-stage optimization by Zheng Liu, Jia-Lin Liu, Lei Zhang

“…Moreover, some novel optimization-based data-driven conclusions for dynamic evacuation and rescue traffic collaborative assignment are captured, e.g., compared with the traditional hierarchical solving approach, the parallel solving approach is more resistant to interference from rescue traffic during the evacuation, and can achieve better evacuation traffic optimization performance without delaying rescue traffic operation; there exists the mirror symmetry law to time and space allocation of the road network for the quick arrival of rescue vehicles in the disaster position during the evacuation.…”
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An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability by Ershen Wang, Xiaozhu Shi, Xidan Deng, Jing Gao, Wei Zhang, Huan Wang, Song Xu

“…Civil aviation transportation equipment is more convenient and faster than other transportation tools and is an essential part of intelligent transportation. …”
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Optimization of thermal regimes of microwave resonators digital active phased array antenna by Kh. M. Gadzhiev, A. A. Akimov, E. A. Abdurafikov, R. Sh. Asaliev, A. M. Magomedov

“…The aim of the study is to simulate resonators for microwave digital active phased antenna arrays (DFAAR) in the microwave range, which will optimize the parameters of the antenna system for more reliable direction finding with high reliability of any aircraft. …”
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Dynamics analysis and optimal control of a fractional-order lung cancer model by Xingxiao Wu, Lidong Huang, Shan Zhang, Wenjie Qin

“…The results indicated that combined therapy showed better effectiveness in inhibiting tumor cell growth, significantly outperforming single treatment strategies and more effectively controlling the progression of cancer.…”
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3D Coverage Optimization for WSNs Based on Improved Flow Direction Algorithm by QIAN Zhichao, HU Biling, LIU Minmin

“…This paper presents a three-dimensional coverage optimization algorithm for WSNs, based on an improved flow direction algorithm. …”
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ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network by Yiming Chen, Hui Zhang, Chen Zhang, Yi Liu

“…In response to the issue that post-training quantization leads to performance degradation in mobile deployment, as well as the problem that the balanced consideration of quantization deviation by Clipping optimization techniques limits the improvement of quantization accuracy, this article proposes a novel clipping optimization method named ClipQ, which pays different attention to the parameters, aiming to preferentially reduce the quantization deviation of important parameters. …”
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DETERMINATION OF THE BEST OPTIMIZER FOR A NEURONETWORK IN THE DEVELOPMENT OF AUTOMATIC IMAGE TAGGING SYSTEMS by Andrian Kozynets

“…In addition, the final accuracy of the model with the SGD optimizer was higher on both the training and validation datasets, which indicates a more efficient training process using this optimizer. …”
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