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 ...

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: With the application of uncrewed aerial vehicles(UAVs) in rescue and logistics delivery, safe and feasible path planning in dense environments becomes ...

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

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

Water distribution network (WDN) optimization has received special attention from various technicians and researchers, mainly due to its high costs of implementation, operation and maintenance.

A Rogers County judge ruled PSO qualifies for a land-use exception, clearing the way for proposed natural gas and battery ...

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

We’re accelerating quantum-safe readiness—and sharing what organizations can do now to transition earlier and with confidence ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Morningstar Quantitative Ratings for Stocks are generated using an algorithm that compares companies that are not under analyst coverage to peer companies that do receive analyst-driven ratings.

A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...