IEEE

Dual-layer Multi-objective Particle Swarm Optimization Algorithm for Partial Destructive Incomplete Disassembly Line Balancing Problem

Abstract: Disassembly lines play a crucial role in the recycling and reuse of end-of-life (EOL) products to promote environmental protection and economic benefits. However, the diverse characteristics ...
American Institute of Physics

Multi-objective algorithm speeds up UAV search-and-rescue

In a disaster, every second is critical. Large-scale disasters, such as earthquakes, hurricanes, and landslides, often involve trapped or stranded survivors in need of rescue, and locating them as ...
Scientific Research Publishing

Lin, S., Liu, A., Wang, J. and Kong, X. (2024) An Improved Fault-Tolerant Cultural-PSO with Probability for Multi-AGV Path Planning.

ABSTRACT: This study focused on optimizing distribution networks through the strategic integration of photovoltaic (PV) systems and D-STATCOM compensators. Using the particle swarm optimization (PSO) ...
Fox 23

PSO seeks rate increase for residential customers

OKLAHOMA — Public Service Company of Oklahoma (PSO) has filed a rate review with the Oklahoma Corporation Commission that would lead to a rate increase for residential customers. If the request is ...
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 ...
IEEE

Optimizing a Dynamic Transport on Demand Problem Using the Multi-Objective Particle Swarm Optimization Algorithm

Abstract: This paper introduces a Multi-objective Particle Swarm Optimization (MOPSO) algorithm to address the Transport on Demand Problem (TDP). The dynamic nature of the TDP, which includes ...