NDLI: UAV online path planning based on dynamic multiobjective evolutionary algorithm

Content Provider	IEEE Xplore Digital Library
Author	Peng Xingguang Xu Demin Zhang Fubin
Copyright Year	2011
Description	Author affiliation: School of Marine Engineering, Northwestern Polytechnical University, Xi'an 710072, China (Peng Xingguang; Xu Demin; Zhang Fubin)
Abstract	Online path planning (OPP) is the basic issue of some complex mission and is indeed a dynamic multi-objective optimization problem (DMOP). In this paper, we use an OPP scheme in the sense of model predictive control (MPC) to continuously update the environmental information for the planner. For solving the DMOP involved in the MPC-like OPP a dynamic multi-objective evolutionary algorithm based on linkage and prediction (LP-DMOEA) is proposed. Within this algorithm we selectively collect the historic Pareto sets and construct several time series to present the changing tendency of the dynamic Pareto set so as to properly guide the search process. Besides, a posterior method is introduced to select executive solution from the output of the LP-DMOEA. Experimental results show the advantage of the LP-DMOEA over restart method on three benchmark problems. The effectiveness of LP-DMOEA based OPP algorithm is also validated by the simulation results of a simple military case.
Starting Page	5424
Ending Page	5429
File Size	406485
Page Count	6
File Format	PDF
ISBN	9781457706776
ISSN	21612927
e-ISBN	9789881725592
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Heuristic algorithms Time series analysis Evolutionary computation Unmanned Aerial Vehicle Online Path Planning Aerodynamics Path planning Vehicle dynamics Optimization Dynamic Multi-Objective Evolutionary Algorithm
Content Type	Text
Resource Type	Article

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