Swarm guidance using a multi-objective co-evolutionary on-Line evolutionary algorithm

• Published in: Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Vol. 2; pp. 2357 - 2363 Vol.2
• Main Author: Hughes, E.J.
• Format: Conference Proceeding
• Language: English
• Published: Piscataway NJ IEEE 2004
• Subjects: Aerodynamics; Applied sciences; Artificial intelligence; Computer science; control theory; systems; Costs; Decision making; Distributed control; Educational institutions; Evolutionary computation; Exact sciences and technology; Missiles; Procurement; Trajectory; Working environment noise; Guidance; Missile; Spatial distribution; Coordination; Decision support system; Genetic algorithm; Decision making; Evolutionary algorithm; Multiobjective programming; Distributed control; Multiple target
• ISBN: 9780780385153; 0780385152
• DOI: 10.1109/CEC.2004.1331192

This paper details the application of a multi-objective cooperative co-evolutionary on-line EA (MOC-COLEA) to the guidance of a swarm of multiple missiles, against multiple targets. The multi-objective algorithm is used to develop a dynamic objective front which is used to trade the spatial distribution of missiles at impact, against the time to impact. Each missile optimises its own performance, based on limited information of the current intended actions of the other missiles. The decision making process is thus distributed between the missiles giving distributed coordination. Results demonstrate the algorithm can form effective leader-less distributed control for multiple missiles against multiple targets in noisy and environments.