Title :
Fitness function changes to improve performance in a GA used for multi-UAV tasking
Author :
Marcela Mera Trujillo;Kristin Duling;Marjorie Darrah;Edgar Fuller;Mitchell Wathen
Author_Institution :
Department of Mathematics, West Virginia University, Morgantown, WV, USA
Abstract :
Various methods have been utilized for the cooperative tasking of unmanned aerial vehicles (UAVs), with the genetic algorithm (GA) being a technique that has proven to be versatile and effective for this use. The design and implementation of a GA is both an art and a science that brings together creativity, theoretical foundations and engineering. The focus of this paper is to show how the fitness function for a GA has been improved to meet variable mission constraints and also improve performance of the system designed to provide support for a ground station to fly cooperative missions with teams of small UAVs.
Keywords :
"Biological cells","Genetic algorithms","Testing","Vehicles","Algorithm design and analysis","Sociology","Statistics"
Conference_Titel :
Research, Education and Development of Unmanned Aerial Systems (RED-UAS), 2015 Workshop on
DOI :
10.1109/RED-UAS.2015.7441009