Frontiers

Enhancing particle swarm optimization based on optical computing mechanism: application to dyslexia detection

Introduction: This study presents a modified version of Particle Swarm Optimization (PSO) using an all-optical computational update mechanism. The primary innovation and objective of this ...
IEEE

Multi-Objective Optimal Dispatch of Microgrids Based on an Improved Particle Swarm Optimization Algorithm

Abstract: As a crucial component of smart grid optimization, the optimal dispatch of microgrids is of great significance for reducing energy consumption and environmental pollution. The development ...
EurekAlert!

Dynamic decision-making of UAV swarm based on constrained multi-objective optimization under incomplete interference information

UAV swarms have shown immense potential for applications ranging from disaster response to military reconnaissance, but ensuring reliable communication in contested environments has remained a ...
Scientific Research Publishing

Rangel, E.O., Costa, D.G. and Loula, A. (2019) On Redundant Coverage Maximization in Wireless Visual Sensor Networks: Evolutionary Algorithms for Multi-Objective Optimization ...

ABSTRACT: Visual Sensor Networks (VSNs) focus on capturing data, extracting relevant information, and enabling communication. However, the presence of obstacles affects network efficiency, linking ...
IEEE

I-MOPSO: A Suitable PSO Algorithm for Many-Objective Optimization

Abstract: Multi-Objective Optimization Problems are problems with more than one objective function. In the literature, there are several Multi-Objective Evolutionary Algorithms (MOE As) that deals ...