Algorithm finds smallest dataset that guarantees optimal solutions to complex problems

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...
EDN

Accuracy loss from PWM sub-Vsense regulator programming

Addressing the accuracy concerns for the PWM programming of standard regulators requiring an output that can swing below the ...
IEEE

Consensus-Based Particle Swarm Optimization-Assisted Trust-Tech Methodology for Multi-Solution Optimal Power Flow Problem

Abstract: Optimal Power Flow (OPF) is a constrained, high-dimensional, non-convex nonlinear programming problem that typically has multiple local optimal solutions. To address the issue where most ...
IEEE

Fourier-Multiple Linear Regression Method in the Fast-Moving Consumer Goods Business Time Series Analysis Problem

Abstract: A new method is developed to adjust the forecast in case of a small number of observations or in the absence of standard patterns which can be detected by classical machine learning and ...