EurekAlert!

Hybrid modeling strategy based on deep learning surrogate models enables accurate multi-objective optimization of iso-octanol oxidation

Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...
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 ...
IEEE

A Q-Learning-Based Multi-Objective PSO Algorithm for Robot Path Planning on Rough Terrain

Abstract: Path planning is a key challenge in the field of mobile robotics. However, the standard particle swarm optimization (PSO) has some significant limitations when dealing with path planning ...
Scientific Research Publishing

Hari Prasad, C., Subbaramaiah, K. and Sujatha, P. (2023) Optimal DG Unit Placement in Distribution Networks by Multi-Objective Whale Optimization Algorithm & Its Techno ...

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) ...
Scientific Research Publishing

Optimizing Star-Delta Starter Transitions for Induction Motors with Particle Swarm Algorithm ()

1 Department of Electrical and Electronic Engineering, Faculty of Engineering, Sunyani Technical University, Sunyani, Ghana. 2 Department of Electrical and Electronic Engineering, Akenten Appiah-Menka ...
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 ...