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A Gravitational Black Hole Algorithm for Autonomous UCAV Mission Planning in 3D Realistic Environments

by A. A. Heidari, R. A. Abbaspour
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 9
Year of Publication: 2014
Authors: A. A. Heidari, R. A. Abbaspour
10.5120/16626-6482

A. A. Heidari, R. A. Abbaspour . A Gravitational Black Hole Algorithm for Autonomous UCAV Mission Planning in 3D Realistic Environments. International Journal of Computer Applications. 95, 9 ( June 2014), 42-47. DOI=10.5120/16626-6482

@article{ 10.5120/16626-6482,
author = { A. A. Heidari, R. A. Abbaspour },
title = { A Gravitational Black Hole Algorithm for Autonomous UCAV Mission Planning in 3D Realistic Environments },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 9 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 42-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number9/16626-6482/ },
doi = { 10.5120/16626-6482 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:19:02.907008+05:30
%A A. A. Heidari
%A R. A. Abbaspour
%T A Gravitational Black Hole Algorithm for Autonomous UCAV Mission Planning in 3D Realistic Environments
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 9
%P 42-47
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This article addresses a novel approach to 3D mission planning of UCAVs in constrained environments. To solve this NP-hard problem, black hole algorithm (BH) is improved by considering stars gravities information. By modelling UCAV properties, aerospace constraints and DTM of environment, proposed mission planner based on black hole optimization algorithm is proposed. Also it provides a comparative study for efficiency evaluation of evolutionary 3D mission planners based on ACO, BA, DE, ES, GA, BH and PSO optimization algorithms. Then mission planning task of UCAV is performed. Simulations show the advantage of proposed gravitational BH mission planner.

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Index Terms

Computer Science
Information Sciences

Keywords

Unmanned combat aerial vehicle (UCAV) Flight simulation 3D mission planning Black hole optimization algorithm

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