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

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Provided by: International Journal of Computer Applications
Topic: Software
Format: PDF
In this paper, the authors address 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 modeling 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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