Network for hypersonic UCAV swarms

Agent-based Simulation Environment for Ucav Mission Planning and Execution

The projected use of Uninhabited Combat Air Vehicles (UCAVs) in combat missions raises the challenge of providing the intelligent functionality that will allow them to carry out their tasks in autonomous mode. This challenge is composed by the fact that UCAVs will have to act in a dynamic environment, which will constantly require changes in the mission plans. In this paper, we present an appro...

A Bat Algorithm with Mutation for UCAV Path Planning

Path planning for uninhabited combat air vehicle (UCAV) is a complicated high dimension optimization problem, which mainly centralizes on optimizing the flight route considering the different kinds of constrains under complicated battle field environments. Original bat algorithm (BA) is used to solve the UCAV path planning problem. Furthermore, a new bat algorithm with mutation (BAM) is propose...

A Modified Firefly Algorithm for UCAV Path Planning

Path planning for uninhabited combat air vehicle (UCAV) is a complicated high dimension optimization problem, which mainly centralizes on optimizing the flight route considering the different kinds of constrains under complicated battle field environments. Original firefly algorithm (FA) is used to solve the UCAV path planning problem. Furthermore, a new modified firefly algorithm (MFA) is prop...

Artificial Intelligence Approaches To UCAV Autonomy

This paper covers a number of approaches that leverage Artificial Intelligence algorithms and techniques to aid Unmanned Combat Aerial Vehicle (UCAV) autonomy. An analysis of current approaches to autonomous control is provided followed by an exploration of how these techniques can be extended and enriched with AI techniques including Artificial Neural Networks (ANN), Ensembling and Reinforceme...

Propulsion Systems for Hypersonic Flight