Population-based metaheuristic algorithms have been used to solve challenging optimization problems, and numerous modifications to make these algorithms more efficient have been proposed. Jaya is one of these algorith...
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Due to the presence of numerous infeasible regions in Constrained multi-objective optimization problems (CMOPs), existing algorithms struggle to identify the complete Pareto front (PF). A novel two-populations algorit...
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To address the issues of low absorption rate and high operating cost in the distributed photovoltaic power generation system within the park, a multi-objective optimization model built upon the foundation of the Inter...
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In recent years, due to the rapid development of the Chinese economy, consumers have put forward higher requirements for the delivery time of goods in online shopping, which has intensified competition among various l...
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In resource-constrained Wireless Sensor Networks, energy efficiency and lifespan are critical elements that influence the durability and efficacy of the deployed sensor network. A significant problem in wireless senso...
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To handle constrained multi-objective optimization problems (CMOPs), many constrained multi-objective evolutionary algorithms (CMOEAs) have been proposed. However, a recent study has shown that many of these CMOEAs do...
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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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