Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

The proposed approach forms a two-layer optimization framework: the outer particle swarm optimization layer handles parameter tuning, while the inner chaotic search improves the solution using the ...

Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

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 ...

Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...

Abstract: This paper concerns the multi-UAV task assignment problem, which is solved by a multi-objective particle swarm optimization algorithm for adaptive region partitioning. Since the traditional ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

Abstract: This article proposes a low-carbon operation analysis method for micro grids based on improved particle swarm optimization algorithm. Corresponding improvements have been made to the inertia ...

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

Unity.Library.eppz_easing - Easing algorithms with explanations / testbed EasingFunction-Unity - Implementation of Easing Functions within unity in c# dotween-configs - Configs to setup DOTween's ...