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

Abstract: The traditional particle swarm optimization (PSO) algorithm suffers from shortcomings like easily falling into local optimum and inadequate sharing of information among particles, To ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

State-of-the-art antenna design and optimization (D/O) is increasingly being done using Global Search and Optimization (GSO) algorithms such as Ant Colony Optimization (ACO), Particle Swarm ...

Registration is open for faculty to attend the Westwood Lecture Series, which will now take place on a new date Dec. 4. This event was originally scheduled for Dec. 5. Mohit Tawarmalani, the executive ...

ABSTRACT: This paper introduces a novel variant of particle swarm optimization that leverages local displacements through attractors for addressing multiobjective optimization problems. The method ...

Abstract: In the design of multiobjective particle swarm optimization (MOPSO) algorithms, swarm leaders, i.e., the personal best (pbest) and global best (gbest), are expected to guide the particles ...