NDLI: A Formation Reconfiguration Algorithm for Multi-UAVs Based on Distributed Cooperative Coevolutionary with an Adaptive Grouping Strategy

Content Provider	IET Digital Library
Author	Liu, Huaxian Liu, Feng Zhang, Xuejun Guan, Xiangmin Chen, Jun
Abstract	The Formation reconfiguration problem plays a crucial role in the implementation of complex tasks for multiple unmanned aerial vehicles, which attracted increasing attention in the past decade. Taking into consideration the control parameters and time discretization of the multi-UAVs in the 3 Dimensional (3-D) space, the formation reconfiguration problem can be formulated as a large-scale combinatorial optimization problem with complex constraints and tight couplings between variables. The problem results in the reduction in efficiency and effectiveness using classic bio-inspired algorithms. In this paper, a formation reconfiguration method based on cooperative coevolutionary algorithm is proposed along with a new decomposition strategy to improve the optimization capability and prevent premature convergence. In the proposed approach, variables of multi-UAV are divided into several sub-groups based on an adaptive grouping strategy. The proposed strategy groups the variables in order to better deal with the tight coupling among them, taking into account the variables' variance and multi-UAVs characteristics of the formation reconfiguration problem. Therefore, each subgroup can adopt the Self-adaptive differential evolution strategy with neighborhood search (SaNSDE) with the aim to optimize the UAV's control inputs using multithreaded programming. SaNSDE contributes to calculating the results in a fully distributed and paralleled manner. Optimal solution is then obtained through cooperation and coordination with all subcomponents. Simulation results based on extreme scenarios adopted by previous researches demonstrate that the proposed algorithm outperformed the existing approaches including Particle swarm optimization (PSO), Differential evolution (DE), and the cooperative coevolution algorithms with different well-known grouping strategies.
Starting Page	841
Ending Page	851
Page Count	11
ISSN	10224653
Volume Number	29
e-ISSN	20755597
Issue Number	Issue 5, Sep (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/29/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2020.07.006
Journal	Chinese Journal of Electronics
Publisher Date	2020-09-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Adaptive Grouping Strategy Aerospace Control Autonomous Aerial Vehicle Coevolutionary Algorithm Combinatorial Mathematics Cooperative Coevolution Algorithm Decomposition Strategy Differential Evolution Evolutionary Computation Formation Reconfiguration Algorithm Formation Reconfiguration Method Formation Reconfiguration Problem Large-scale Combinatorial Optimization Problem Mobile Robots Multiple Unmanned Aerial Vehicle MultiUAV Optimisation Technique Particle Swarm Optimisation Particle Swarm Optimization Position Control Search Problem Self-adaptive Differential Evolution Strategy Spatial Variables Control Telerobotics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Dynamic multi-UAVs formation reconfiguration based on hybrid diversity-PSO and time optimal control

Adaptive Multi-layer Particle Swarm Optimization with Neighborhood Search

Unmanned Aerial Vehicle route optimization using ant system algorithm

On modeling and discrete particle swarm optimization for task assignment of cooperating UAVs

Reactive power optimization based on cooperative coevolution particle swarm optimization

Optimal reconfiguration of UAVs in formation flight

An improved particle swarm optimization and its application in maneuvering control laws design of the unmanned aerial vehicle

Stochastic Trajectory Generation Using Particle Swarm Optimization for Quadrotor Unmanned Aerial Vehicles (UAVs)

Optimal Scheduling for Refueling Multiple Autonomous Aerial Vehicles (2006)

A Formation Reconfiguration Algorithm for Multi-UAVs Based on Distributed Cooperative Coevolutionary with an Adaptive Grouping Strategy

Similar Documents

Dynamic multi-UAVs formation reconfiguration based on hybrid diversity-PSO and time optimal control

Adaptive Multi-layer Particle Swarm Optimization with Neighborhood Search

Unmanned Aerial Vehicle route optimization using ant system algorithm

On modeling and discrete particle swarm optimization for task assignment of cooperating UAVs

Reactive power optimization based on cooperative coevolution particle swarm optimization

Optimal reconfiguration of UAVs in formation flight

An improved particle swarm optimization and its application in maneuvering control laws design of the unmanned aerial vehicle

Stochastic Trajectory Generation Using Particle Swarm Optimization for Quadrotor Unmanned Aerial Vehicles (UAVs)

Optimal Scheduling for Refueling Multiple Autonomous Aerial Vehicles (2006)

A Formation Reconfiguration Algorithm for Multi-UAVs Based on Distributed Cooperative Coevolutionary with an Adaptive Grouping Strategy