Problems in engineering can be formulated as numerical function optimization problems 1. Most of these problems are complex in nature with multiple peaks, high dimensions, or non-differentiability.

Optimization problems involve finding the best solution within specific constraints. As technology advances, these problems have become more complex, often involving multiple constraints and mixed ...

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

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

Researchers have developed a quantum particle swarm optimization algorithm for maximum power point tracking that reportedly generates 3.33% more power in higher temperature tests and 0.89% more power ...

Particle swarm optimization isn't usually seen as the first-choice technique for training a neural network but, as James McCaffrey demonstrates, it's a useful alternative. Particle swarm optimization ...