@inproceedings{aecc991f631c452f9a565003439d6744,
title = "Multiple UCAVs target assignment via Bloch Quantum-Behaved Pigeon-Inspired Optimization",
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 = "Bloch sphere, Pigeon-Inspired Optimization (PIO), Target assignment, Uninhabited Combat Aerial Vehicles (UCAVs)",
author = "Shujian Zhang and Haibin Duan",
note = "Publisher Copyright: {\textcopyright} 2015 Technical Committee on Control Theory, Chinese Association of Automation.; 34th Chinese Control Conference, CCC 2015 ; Conference date: 28-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "11",
doi = "10.1109/ChiCC.2015.7260736",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "6936--6941",
editor = "Qianchuan Zhao and Shirong Liu",
booktitle = "Proceedings of the 34th Chinese Control Conference, CCC 2015",
address = "美国",
}