Share Your Research, Maximize Your Social Impacts
Improved Black Hole Algorithm for Efficient Low Observable UCAV Path Planning in Constrained Aerospace
Journal: Advances in Computer Science : an International Journal(ACSIJ) (Vol.3, No. 3)Publication Date: 2014-05-31
Authors : A. A. Heidari; R. A. Abbaspour;
Page : 87-92
Keywords : Unmanned combat aerial vehicle (UCAV); Flight Simulation; Trajectory Planning; black hole algorithm;
Source : Download
Find it from : Google Scholar
Abstract
An essential task of UAV autonomy is automatic path planning. There are many evolutionary planners for Unmanned Aerial Vehicles (UAVs) that have been developed UAV community. In this paper a comparative study about performance of effective trajectory plan ...
Other Latest Articles
- Progressing Collaborative Systems
- Prediction - Based Protocol, Clustering Algorithm and Recovery Mechanism for Target Tracking in Wireless Sensor Networks (WSNs)
- Modeling and Performance Evaluation of Mean Waiting Time for Multiple Web Access in the Narrowband Network
- Modeling Average Daily Traffic Volume using Neural Network-Wavelet Hybrid Method
- Discovering Hot Topics On Social Network Based On Improving The Aging Theory
Last modified: 2014-06-02 21:40:35