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An application of heuristic search techniques to the problem of flight path generation in a military hostile environment
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Source International conference on Industrial and engineering applications of artificial intelligence and expert systems archive
Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1 table of contents
Tullahoma, Tennessee, United States
Pages: 273 - 280  
Year of Publication: 1988
ISBN:0-89791-271-3
Authors
Verlynda S. Dobbs  Wright State Univ., Dayton, OH
Henry W. Davis  Wright State Univ., Dayton, OH
Carl Lizza  Wright State Univ., Dayton, OH
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper is a study of the effectiveness of heuristic search algorithms in generating flight paths. Due to the need to generate and revise paths dynamically we are interested in execution speed as well as solution quality (conflict cost plus path length). Extensive tests with three search algorithms were made using a simple threat model. Using straight-forward heuristics, we found that two of the algorithms perform well then their weights are appropriately adjusted. One is A* and the other is a bidirectional search. Our results indicate that heuristic search is effective in flight path generation and provide details about algorithms which were successful.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Hart, P.E., Nilsson, N.J., and Raphael, B. 1968. A formal basis for the heuristic determination of minimum cost paths. IEEE Trans. Systems Science and Cybernetics, 2 (100-107).
 
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Kline, K.B. 1985. Generation of flight paths using hierarchic planDing. MS Thesis, Wright State 5niversity, Department of Computer Science.
 
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Lizza, C.F. 1984. Generation of flight paths using heuristic search. MS. Thesis, Wright State University, Department of Computer Science.
 
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Martelli, A. 1977. On the complexity of admissible search algorithms. Artificial Inte!liqence, 8 (1-13).
 
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Pohl, Io 1969. Bi-directional~ and heuristic search in path problems. SLAC Report No. 104, Stanford Linear Accelerator Center.
 
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Politowski, G. and Pohl, I., 1984. D-node retargeting in bidirectional heuristic search. Fourth National Conference on Artificial Intelligence (274-7).
 
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Rao, V.N., Kumar, V., and Ramesh, K. 1987. A parallel implementation of iterative- Deepening-A*. Sixth National Conference on Artificial Intelligence, Volume 1 (178- 182) .
 
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Wagner, C.E. 1985. Planning and search for generating flight paths in a large space. MS Thesis, Wright State University, Department of Computer Science.

Collaborative Colleagues:
Verlynda S. Dobbs: colleagues
Henry W. Davis: colleagues
Carl Lizza: colleagues