News

Engineers uncover why tiny particles form clusters in turbulent air

Tiny solid particles—like pollutants, cloud droplets and medicine powders—form highly concentrated clusters in turbulent ...
Semiconductor Engineering

Moving Past “It Works” — Intelligent Optimization Is the Key to PCB Excellence

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

How surprising was Brian Schottenheimer’s Cowboys hiring? Even he didn’t see it coming

FRISCO, Texas — He rolled up to the plush private jet at Teterboro Airport and boarded with a bounce in his step, excited about where the journey might lead. Brian Schottenheimer would not be flying ...
IEEE

Design of Low-Sidelobe Wideband Leaky-Wave Antenna Based on Improved Discrete Mutation Particle Swarm Optimization

Abstract: This paper proposes a low-sidelobe wideband design methodology for leaky-wave antennas based on an Improved Discrete Mutation Particle Swarm Optimization (IMDPSO) algorithm. The approach ...
Visual Studio Magazine

Linear Support Vector Regression Using C# with Particle Swarm Training

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 ...
Scientific Research Publishing

Six-Element Yagi-Uda Array: An Example of Using Negative Gravity in Central Force Optimization for Improving Decision Space Exploration ()

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 ...
Purdue University

Registration open for Dec. 4 Westwood lecture on business optimization models

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 ...
Scientific Research Publishing

Coello Coello, C.A. and Lechuga, M.S. (2002) MOPSO: A Proposal for Multiple Objective Particle Swarm Optimization. Congress on Evolutionary Computation, 2, 1051-1056.

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

Leader Prediction for Multiobjective Particle Swarm Optimization

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 ...