PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based ...

In view of the problem that the train speed track is easy to fall into local convergence in [5], an improved multi-objective hybrid optimization method based on comprehensive learning strategy is ...

One of the standout features of the study is the application of Particle Swarm Optimization (PSO) to improve the efficiency ...

To improve the fast and stable walking ability of a humanoid robot, this paper proposes a gait optimization method based on a parallel comprehensive learning particle swarm optimizer (PCLPSO). Firstly ...

In actual flight, unmanned aerial vehicle needs to find the shortest path and avoid all threats. An improved particle swarm optimization algorithm combined with genetic algorithm method is presented ...

Abstract: This chapter presents maximum power point tracking (MPPT) control using particle swarm optimization (PSO) algorithm for photovoltaic (PV) panel affected by partial shading due to shadow ...

An international research team has developed a novel approach for predicting inverter temperature through symbolic regression based on particle swarm optimization.

This study introduces a wearable device that uses IoT technology and sensors to monitor fetal movements, improving maternal ...