Søgeresultater - optimization algorithm

To optimize the skyscrapers and enhance its wind resistance performance under wind load, a wind resistance optimization method for super high-rise building structure on the basis of improved Particle Swarm Optimization (PSO) is built. Through the harmonic excitation method, the equivalent static win...

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Improving the flight trajectory in climb phases, such as in the continuous climb operation, has the potential to reduce fuel consumption. In this paper, we propose an approach that combines a neural network and genetic algorithms to determine the fuel-optimal vertical climb profile under a given fli...

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In order to solve the limitation of a large number of literatures on the study of modeling, simulation and prediction of time series data, there is no model selection, and a certain model is directly used for analysis. For three types of artificial intelligence models often applied to time series an...

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To improve the efficiency of solving the reliability design optimization model of circuit board based on physics of failure. The failure modes and mechanism of circuit board and components are analyzed, and the reliability optimization models of circuit board based on physics of failure are construc...

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This article reflects algorithmization of search methods of effective replacement of consumer transformers in distributed electrical networks. As any electrical equipment of power systems, power transformers have their own limited service duration, which is determined by natural processes of materia...

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This article describes the author’s method of genetic algorithms for solving optimization problems of environmental quality. The initial data are the numerical evaluation of the quality of each of the studied natural components on a dedicated subarea. Taking into account the ambient air, soil cover,...

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Metaheuristic algorithms have gained significant acceptance in large areas of optimization, giving unique and novel solutions to complicated problems across various areas. This research dives into the wide classification of state-of-the-art real-world applications that depend on metaheuristic algor...

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This paper studies the optimal trajectory optimization of a space robot for maintenance operations. A new trajectory planning algorithm is proposed to solve the problems of low maintenance efficiency and poor stationarity of space robots on-orbit. Firstly, considering the constraint conditions such...

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An enhanced snow geese algorithm (ESGA) is proposed to address the problems of the weakened population diversity and unbalanced search tendencies encountered by the snow geese algorithm (SGA) in the search process. First, an adaptive switching strategy is used to dynamically select the search strate...

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This paper presents the modified arithmetic optimization algorithm (MAOA), a swift and effective optimization algorithm specifically designed for electromagnetic applications. Its primary advantage is its ability to avoid local minima by striking a balance between global exploration and local exploi...

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Metaheuristic algorithms, due to their superior global exploration capabilities and applicability, have emerged as critical tools for addressing complicated optimization tasks. However, these algorithms commonly depend on expert knowledge to configure parameters and design strategies. As a result, t...

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In order to improve the energy efficiency of the electric heating system, a particle swarm optimization (PSO, Particle Swarm Optimization)-based operation optimization strategy for the direct storage combined electric heating system is proposed.A mathematical model of influencing factors inside a...

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With the growth of the economy, tourism has gradually become a consumer trend in people’s lives. However, the traditional optimization method of rural tourism routes cannot optimize the routes effectively and achieve the best results. The study introduces a genetic algorithm (GA), combines it with a...

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Light field manipulation is an important technology for improving system-level efficiency of optical wireless power transfer (OWPT). In this paper, we propose and compare the Gerchberg-Saxton algorithm, direct binary search and genetic algorithm enabled light field optimization for adapting photovol...

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The problem areas requiring the intellectual support for solving optimization tasks are considered. The adaptive algorithm of the optimization tasks solution support on the basis of the linguistic commands is deve loped. Both a ccurate and fuzzy parameter ch aracteristics of the calculating process...

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The article proposes a new method and an algorithm based on it for processing large-volume images. What is new in the implementation of image processing is the method of implementing program code using the App object. The novelty of the proposed method also lies in the algorithm for the specific imp...

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This study focuses on maximizing the fundamental frequency of stiffened piezolaminated composite plates using a novel hybrid optimization algorithm that combines the Special Relativity Search (SRS) and Hill Climbing (HC) techniques. The optimization process maximizes the fundamental frequency by adj...

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The accurate prediction of the host of influenza viruses is a significant challenge in bioinformatics, as it is crucial for understanding viral transmission dynamics and host-virus interactions. This research • Introduces a novel approach for predicting the host of influenza viruses by leveraging pr...

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Frank and Wolfe’s celebrated conditional gradient method is a well-known tool for solving smooth optimization problems for which minimizing a linear function over the feasible set is computationally cheap. However, when the objective function is nonsmooth, the method may fail to compute a stationary...

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