Skip to main content
padlock icon - secure page this page is secure

Path Planning for Uninhabited Combat Aerial Vehicle Using Hybrid Meta-Heuristic DE/BBO Algorithm

Buy Article:

$107.14 + tax (Refund Policy)

Path planning for uninhabited combat aerial vehicle (UCAV) is a complicated high dimension optimization problem, which mainly centralizes on optimizing the flight route considering the different kinds of constrains under complicated battle field environments. Original biogeography-based optimization (BBO) is used to solve the UCAV path planning problem. Furthermore, a new hybrid meta-heuristic differential evolution (DE) and BBO algorithm is proposed to solve the UCAV path planning problem. DE is applied to optimize the habitat migration and mutation operation of the improved BBO model during the process of habitat HSI updating. Then, the UCAV can find the safe path by connecting the chosen nodes of the coordinates while avoiding the threat areas and costing minimum fuel. This new approach can accelerate the global convergence speed while preserving the strong robustness of the basic BBO. The realization procedure for original BBO and this hybrid meta-heuristic approach DE/BBO is also presented. To prove the performance of this proposed hybrid meta-heuristic method, DE/BBO is compared with BBO and other population-based optimization methods, such as, ACO, DE, ES, GA, PBIL, PSO and SGA. The experiment shows that the proposed approach is more effective and feasible in UCAV path planning than the other model.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: BIOGEOGRAPHY-BASED OPTIMIZATION (BBO); DIFFERENTIAL EVOLUTION (DE); PATH PLANNING; UNMANNED COMBAT AERIAL VEHICLE (UCAV)

Document Type: Research Article

Publication date: December 1, 2012

More about this publication?
  • Advanced Science, Engineering and Medicine (ASEM) is a science, engineering, technical and medical journal focused on the publishing of peer-reviewed multi-disciplinary research articles dealing with all fundamental and applied research aspects in the areas of (1) Physical Sciences, (2) Engineering, (3) Biological Sciences/Health Sciences, (4) Medicine, (5) Computer and Information Sciences, (6) Mathematical Sciences, (7) Agriculture Science and Engineering, (8) Geosciences, and (9) Energy/Fuels/Environmental/Green Science and Engineering.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more