Résultats de la recherche - optimization algorithm

In this study, we propose a novel improved Dung Beetle Optimizer called Environment-aware Chaotic Force-field Dung Beetle Optimizer (ECFDBO). To address DBO’s existing tendency toward premature convergence and insufficient precision in high-dimensional, complex search spaces, ECFDBO integrates three...

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Photovoltaic (PV) technology, as a crucial source of clean energy, can effectively mitigate the impact of climate change caused by fossil fuel-based power generation. However, improper use of PV installations may encroach upon agricultural land, grasslands, and other land uses, thereby affecting loc...

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Accurate classification of jujube varieties is essential for ensuring their quality and medicinal value. Traditional methods, relying on manual detection, are inefficient and fail to meet the demands of modern production and quality control. This study integrates hyperspectral imaging with intellige...

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Transmission Expansion Planning (TEP) is a key aspect in securing the reliability and efficiency of current-day power systems when dealing with the growing energy needs and energy security. This work presents an advanced optimization framework, which incorporates the Zebra Optimization Algorithm (ZO...

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The design of automobile chassis structures is fundamentally linked to the optimization of mass and structural robustness. While conventional chassis structures predominantly utilize metals, achieving further mass reduction and enhanced rigidity necessitates the adoption of composite sandwich materi...

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Multimodal multiobjective optimization problems, characterized by multiple solutions mapping to identical objective vectors, are ubiquitous in real-world applications. Despite their prevalence, most existing multimodal multiobjective evolutionary algorithms (MMOEAs) predominantly focus on identifyin...

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The article presents an adaptive genetic algorithm developed by the authors, which makes it possible to optimize the topology of a power network with distributed generation. The optimization was based on bioinspired methods. The objects of the study were a 15-node circuit of a power net-work with ph...

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To address the limited availability of literature on the splitting tensile strength (STS) of basalt fiber reinforced concrete (BFRC), it is necessary to create and evaluate approaches for predicting STS. The current research examined two methods, namely least square support vector regression (LSSVR)...

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Data mining-based student consumption behavior analysis is an important part of smart campus construction, which could find students’ eating patterns and consumption levels. Therefore, data mining-based student consumption behavior analysis became a hot topic both in research and industry areas. For...

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The concept of CFFSs offers a more comprehensive on CFSs, CIFSs, and CPYFSs, with greater potential for practical applications due to their flexible structure, larger space, adjustable parameters, and influential design compared to other generalization of FSs. The striking framework of CFFSs is keen...

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The threshing drum, a core component in combine harvesters, experiences significant unbalanced vibrations during high-speed rotation, leading to severe mechanical wear, increased energy consumption, elevated noise levels, potential safety hazards, and higher maintenance costs. A primary challenge is...

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The article focuses on the use of genetic algorithms for the design of linear induction motors. Comparison of genetic algorithm with classical methods in the context of electrical machines designing has been carried out. The results of solving an optimization problem for two designs are presented, v...

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COVID-19, one of the most dangerous pandemics, is currently affecting humanity. COVID-19 is spreading rapidly due to its high reliability transmissibility. Patients who test positive more often have mild to severe symptoms such as a cough, fever, raw throat, and muscle aches. Diseased people experie...

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In order to analyze the mathematical modeling and PID controller performance of a quadrotor, this paper firstly, describes the quadrotor flight dynamics according to âNewton-Euler lawsâ, then equations of motion linearized and transfer functions for 6 degree of freedom obtained in state space domain...

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Modern image recognition systems are pivotal in enhancing urban landscapes to support sustainable development and improving urban planning performance in a dynamic environment. Previous research focused on street-view panoramas is emerging as a new information source for urban studies due to the rap...

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In this paper, we propose a method for determining the optimal base station deployment to establish a stable communication environment for urban air mobility (UAM) operation in urban areas. To realistically model the UAM operating environment, we utilize DEM files that include data on terrain and bu...

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In the process of bullet design, the parameters of the interior trajectory, exterior trajectory, and terminal trajectory are interdependent, necessitating a comprehensive consideration of the entire trajectory process. To address both overall performance and design efficiency, a multi-objective opti...

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Hybrid metaheuristic algorithms have been widely used to solve global optimization problems, making the concept of hybridization increasingly important. This study proposes a new hybrid multi-strategy metaheuristic algorithm named COSGO, which combines the strengths of grey wolf optimization (GWO) a...

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Virtual power plants (VPPs) have gained significant attention in recent years as a promising solution for optimizing the operation of power systems. VPPs allow for the integration and coordination of Distributed Energy Resources (DERs), such as renewable energy sources, to provide grid support and s...

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Hyper-parameters play a critical role in neural networks; they significantly impact both training effectiveness and overall model performance. Proper hyper-parameter settings can accelerate model convergence and improve generalization. Among various hyper-parameters, the learning rate is particularl...

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