The final, formatted version of the article will be published soon. This paper presents a modified version of Particle Swarm Optimization (PSO) using all-optical computational update mechanism. The ...

Abstract: Particle Swarm optimization (PSO) is one of the widely used and effective optimization techniques to address real-world problems. This paper presents a hybrid PSO-BBO algorithm that ...

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling ...

I mainly use this package for geometry construction in LAMMPS, with some examples provided in the repository; of course, it can also be used for other software. Particles of specified geometries are ...

ABSTRACT: Accurately predicting individual responses to antidepressant treatment is a critical step toward achieving personalized psychiatry and minimizing the ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...

In this blog, we will discuss how Keysight RF Circuit Simulation Professional revamps RF circuit simulation and optimization. Discover how to achieve efficient, accurate designs for even the most ...

School of Mechanical Engineering, Shandong Huayu University of Technology, Dezhou, China Introduction: Regenerative braking control technology has been widely implemented in electric vehicles (EVs) to ...

Abstract: Particle Swarm Optimization (PSO) is an optimization technique grounded in swarm intelligence, drawing inspiration from how bird flocks or fish schools coordinate their movements. In this ...