Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...
Abstract: Large-scale optimization problem (LSOP) is an essential research topic in the field of evolutionary computation community. Many large-scale optimization algorithms often maintain a large ...
A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
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Explorative PSO for drone swarms in occluded target tracking
In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...
Abstract: This paper reviews on various analog circuits using different types of optimization algorithms, which are used to optimize the sizing issues of various analog circuits. Analog circuit sizing ...
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