Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms

By Tal Shima, Steven J. Rasmussen, A. Sparks, Kevin M. Passino. Computers & Operations Research, 2006

305 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/ba924693df0c9ca3736fbc4d1326e486f480f09e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Corey J. Schumacher
2. Tal Shima
3. Zhipu Jin

In Computer Vision and Pattern Recognition

1. Corey J. Schumacher
2. Tal Shima
3. Chao Huang
4. Mingyang Lyu
5. Yibo Zhao
6. Zhipu Jin
7. Hailong Huang

In Industrial and Manufacturing Engineering

1. Tal Shima

Citations in the corpus

• Unmanned Aerial Vehicles for Search and Rescue: A Survey (2023, background): “Centralized approaches, such as genetic algorithms [90,91] and particle swarm optimization [92], require UAVs to constantly communicate their situational awareness to a central station, which generates plans for the entire agency team.”
• Optimal scheduling for refueling multiple autonomous aerial vehicles (2006, methodology): “Cooperative path planning and task assignment were recently investigated in [14] and [36].”