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

Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...

Filip is a long-time gamer and writer with ample experience in both of these industries. Having started his gaming adventure with the venerable PSX, Filip soon discovered dedicated gaming magazines, ...

Abstract: Disassembly lines play a crucial role in the recycling and reuse of end-of-life (EOL) products to promote environmental protection and economic benefits. However, the diverse characteristics ...

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

With the increasing number of large-scale problems, traditional hybrid algorithms are prone to falling into local optima, insufficient diversity, and low convergence accuracy, which urgently need to ...

In multi-objective particle swarm optimization, achieving a balance between solution convergence and diversity remains a crucial challenge. To cope with this difficulty, this paper proposes a novel ...

This study develops a particle swarm optimization (PSO)-based assessment system for evaluating upper extremity and shoulder joint muscle strength with potential application to stroke rehabilitation.

Abstract: The research on Optimal Power Flow (OPF) problems in power systems has undergone significant development, yet a significant gap persists in effectively addressing the multi-objective nature ...

In today’s data-driven world, optimization problems are everywhere—whether it’s tuning machine learning models, minimizing cost functions, or finding efficient paths in logistics. Among the many ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...

Particle Swarm Optimization (PSO) is a nature-inspired, population-based optimization algorithm that mimics the social behavior of birds flocking or fish schooling to find optimal solutions. It is ...