Multi-swarm optimization (MSO) is a powerful variation of particle swarm optimization. Understanding how MSO works and how to implement it can be a valuable addition to your developer toolkit. Many ...

Although mathematically elegant, back-propagation isn't perfect. Instead consider using particle swarm optimization (PSO) to train your neural network; here's how. You can think of a neural network as ...

Speed Update: v_{i}^{(t+1)} = w * v_{i}^{(t)} + c_1 * r_1 * (pbest_{i} - x_{i}^{(t)}) + c_2 * r_2 * (gbest - x_{i}^{(t)}) Position Update: x_{i}^(t+1) = x_{i}^(t) + v ...

This project investigates the application of Particle Swarm Optimization (PSO) to minimize the mismatch between renewable energy generation and consumption by optimizing energy storage utilization.

Abstract: A holistic understanding of genetic interactions is crucial in the analysis of complex biological systems. However, due to the dimensionality problem (less samples and large number of genes) ...

Abstract: In the design of Gaussian laser emission systems, a beam expander system is often necessary to achieve both long-distance transmission and convergence of the laser beam. The effectiveness of ...