Abstract: A refined version of the traditional particle swarm optimization (PSO) method for handling constraint-based optimization is described in this paper. Numerous academic fields, including ...

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: This note examines the utility of pseudorandom variables (prv) in Global Search and Optimization (GSO) using Central Force Optimization (CFO) as an example. Most GSO metaheuristics are ...

Long sales cycles, low conversion volume, and multi-stage purchase journeys make measurement and attribution harder, creating real obstacles to campaign optimization. For B2Bs and brands selling ...

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

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 ...

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 ...

Abstract: Aiming at the weaknesses of Particle Swarm Optimization algorithm (PSO) such as the easiness to get trapped into local optimal, slow convergence speed, and low precision, an improved PSO ...