Cooperative task allocation method of MCAV/UCAV formation
type: Item
instance of: scholarly article
title: Cooperative task allocation method of MCAV/UCAV formation
zbMATH Open document ID: 1400.90331
DOI: 10.1155/2016/6051046
author: Yun Zhong
author: Peiyang Yao
author: Yu Sun
author: Juan Yang
published in: Mathematical Problems in Engineering
publication date: 2018-10-12T00:00:00Z
review text: Summary: Unmanned Combat Aerial Vehicle (UCAV) cooperative task allocation under Manned Combat Aerial Vehicle's (MCAV) limited control is one of the important problems in UCAV research field. Hereto, we analyze the key technical and tactical indices influence task allocation problem and build an appropriate model to maximize the objective function values as well as reflecting various constraints. A novel improved multigroup ant colony algorithm (IMGACA) is proposed to solve the model; the algorithm mainly includes random sequence-based UCAV selection strategy, constraint-based candidate task generation strategy, objective function value-based state transition strategy, and crossover operator-based local search strategy. Simulation results show that the built model is reasonable and the proposed algorithm performs well in feasibility, timeliness, and stability.
Mathematics Subject Classification ID: 90C90
zbMATH DE Number: 6953392
Wikidata QID: Q59131791
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/6051046
OpenAlex ID: W2567056457
cites work: Column generation for a UAV assignment problem with precedence constraints
cites work: Integrated task assignment and path optimization for cooperating uninhabited aerial vehicles using genetic algorithms
description: scientific article; zbMATH DE number 6953392