DocumentCode :
1646174
Title :
Solutions to a probabilistic resource allocation problem
Author :
Metler, W.A. ; Preston, F.L.
Author_Institution :
AT&T Bell Lab., Whippany, NJ, USA
fYear :
1989
Firstpage :
1606
Abstract :
The probabilistic problem of allocating defensive resources against a ballistic missile threat is described and modeled. Since this problem is NP-complete, solution algorithms are heuristic. Two heuristic solution approaches are described, one based on a greedy scheme and the other on linear programming. Results of the application of the two techniques to a small problem show that the greedy technique is faster, but the linear programming solution is better
Keywords :
computational complexity; linear programming; military computing; operations research; probability; NP-complete; defensive resources; greedy scheme; heuristic; linear programming; military computing; probabilistic resource allocation; Asset management; Heuristic algorithms; Linear approximation; Linear programming; Missiles; Piecewise linear approximation; Piecewise linear techniques; Polynomials; Resource management; Weapons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
Type :
conf
DOI :
10.1109/CDC.1989.70420
Filename :
70420
Link To Document :
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