Multiple UCAVs target assignment via Bloch Quantum-Behaved Pigeon-Inspired Optimization

Author

Zhang, Shujian ; Duan, Haibin

Author_Institution

Bio-inspired Autonomous Flight Systems(BAFS) Research Group, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, P.R. China

fYear

2015

fDate

28-30 July 2015

Firstpage

6936

Lastpage

6941

Abstract

In this paper, an improved air-to-air multiple Uninhabited Combat Aerial Vehicles (UCAVs) target assignment model is established and an integrated advantage function with three affecting factors, which are angle, velocity and combat capability, is proposed. Then, Bloch Quantum-Behaved Pigeon-Inspired Optimization (BQPIO) algorithm is designed and applied to optimize the integrated advantage function and solve the multiple UCAVs target assignment problem, which combines the quantum chromosome mechanism with the basic Pigeon-Inspired Optimization (PIO). The detailed procedure is also given. Comparative results with basic PIO and Particle Swarm Optimization (PSO) verified the feasibility and effectiveness of our proposed approach.

Keywords

Biological cells; Compass; Conferences; Convergence; Mathematical model; Optimization; Particle swarm optimization; Bloch sphere; Pigeon-Inspired Optimization (PIO); Target assignment; Uninhabited Combat Aerial Vehicles (UCAVs);

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2015 34th Chinese

Conference_Location

Hangzhou, China

Type

conf

DOI

10.1109/ChiCC.2015.7260736

Filename

7260736