Support vector machine is a machine learning algorithm that is widely used in sentiment analysis, but they rely on a set of hyper-parameters which greatly influence their performance. Fine-tuning these hyper-parameter...
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In recent years, under the context of rapid development of information technology, the demand for personalized teaching in higher vocational computer courses has become increasingly high, and the shortcomings of tradi...
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Metaheuristic algorithms have shown strong advantages in solving real application problems, and excellent metaheuristic algorithms have emerged in recent years. The Willow Catkin optimization (WCO) algorithm is a nove...
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This paper presents a GPU-based parallel implementation of the Enhanced Jaya (EJAYA) algorithm for solving large-scale systems of nonlinear equations. EJAYA is a gradient-free metaheuristic optimization scheme based o...
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Can AI 'solve' politics? In this paper, I explore optipolitics, i.e., the idea that politics along with other complex social issues can be framed as mathematical optimization problems and solved as such. I beg...
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In this paper, a neurodynamic approach with communication delay is proposed for the sake of solving distributed optimization problems. First, the relationship between the equilibrium of the algorithm and the optimal s...
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Decomposition-based Many-Objective Evolutionary algorithms (MaOEAs) usually adopt a set of pre-defined distributed weight vectors to guide the solutions towards the Pareto optimal Front (PF). However, when solving Man...
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The evaluation of the effectiveness of online learning for college students is a complex challenge that requires efficient methods to enhance student engagement and performance. However, one of the difficulties faced ...
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In bilevel optimization, an upper level (UL) decision maker seeks to optimize an objective function while considering the optimal solutions of a lower level (LL) optimization problem. This hierarchical structure poses...
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One of the most prominent and vital challenges for effective power system planning and management is the optimal power flow problem. In this article a recently developed Osprey optimization Algorithm (OOA) algorithm h...
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