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

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

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

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

A research team has developed an optimized energy management strategy for a hybrid residential microgrid that combines solar ...

Using a Particle Swarm Optimization (PSO) algorithm, the study found that coordinated sizing and dispatch of distributed energy resources can ...

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 ...

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 ...

Abstract: This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm consists of ...

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

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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 ...