This report describes the methodology for using a genetic programming model to develop maneuvering behaviors for an unmanned aerial vehicle (UAV) that is also a glider. The use of glider UAVs for surveillance and information-gathering operations has become increasingly important in defense and national security applications. Through an evolutionary process similar to that found in nature, the genetic programming model generates a computer program that when down-loaded onto a glider UAV’s on-board computer will guide the vehicle to find regions of lift for staying aloft while accomplishing an information-gathering task. This report discusses various approaches to developing behaviors using genetic programming and presents the results achieve...
The genetic programming approach is applied to the problem of aircraft autolanding, subject to wind ...
Abstract:- This paper presents a genetic-algorithm-based approach to the problem of UAV path plannin...
This article explores the application of evolutionary algorithms and agent-oriented programming to s...
This report describes the methodology for using a genetic programming model to develop tracking beha...
Unmanned aerial vehicles (UAVs) have become increasingly popular for many applications, including se...
Development of Unmanned Aerial Vehicle (UAV) is now a popular field in research. In most of its appl...
This dissertation investigates the application of Genetic Algorithms (GA) and Simulated Annealing (S...
Design and optimization of the flight controllers is a demanding task which usually requires deep en...
This paper describes a stochastic approach for comprehensive diagnostics and validation of control s...
We have evaluated the use of Genetic Programming to directly control a miniature robot. The goal of ...
This paper presents a novel evolutionary computation approach to three-dimensional path planning for...
Due to the large number of interactions that the agents in a swarm of UAVs have with each other as w...
The design of Flight Control Systems for tilt-rotor UAVs can be challenging for the management of th...
Saving energy is a critical issue for mini and micro-UAVs. We used tools rooted in the ’animat ’ app...
An approach to designing an unmanned helicopter autopilot using genetic algorithms and simulated ann...
The genetic programming approach is applied to the problem of aircraft autolanding, subject to wind ...
Abstract:- This paper presents a genetic-algorithm-based approach to the problem of UAV path plannin...
This article explores the application of evolutionary algorithms and agent-oriented programming to s...
This report describes the methodology for using a genetic programming model to develop tracking beha...
Unmanned aerial vehicles (UAVs) have become increasingly popular for many applications, including se...
Development of Unmanned Aerial Vehicle (UAV) is now a popular field in research. In most of its appl...
This dissertation investigates the application of Genetic Algorithms (GA) and Simulated Annealing (S...
Design and optimization of the flight controllers is a demanding task which usually requires deep en...
This paper describes a stochastic approach for comprehensive diagnostics and validation of control s...
We have evaluated the use of Genetic Programming to directly control a miniature robot. The goal of ...
This paper presents a novel evolutionary computation approach to three-dimensional path planning for...
Due to the large number of interactions that the agents in a swarm of UAVs have with each other as w...
The design of Flight Control Systems for tilt-rotor UAVs can be challenging for the management of th...
Saving energy is a critical issue for mini and micro-UAVs. We used tools rooted in the ’animat ’ app...
An approach to designing an unmanned helicopter autopilot using genetic algorithms and simulated ann...
The genetic programming approach is applied to the problem of aircraft autolanding, subject to wind ...
Abstract:- This paper presents a genetic-algorithm-based approach to the problem of UAV path plannin...
This article explores the application of evolutionary algorithms and agent-oriented programming to s...