Data processing: artificial intelligence – Machine learning – Genetic algorithm and genetic programming system
Patent
1997-01-31
2000-09-05
Hafiz, Tariq R.
Data processing: artificial intelligence
Machine learning
Genetic algorithm and genetic programming system
G06N 312
Patent
active
061157007
ABSTRACT:
The present invention relates to a method and a system for providing an estimate of the state of a contact. The method includes the steps of sensing the state of the contact; generating signals representative of the state of the contact; and processing the signals using a random search procedure to arrive at an estimate of the state of the contact. The random search procedure may employ the simulated annealing-based algorithm methodology or the genetic-based algorithm methodologies. The system includes sensors for sensing the state of the contact and a pre-programmed computer for generating the desired contact state estimates.
REFERENCES:
patent: 5195170 (1993-03-01), Eberhardt
patent: 5255345 (1993-10-01), Shaefer
patent: 5581657 (1996-12-01), Lyon
L. Davis and M. Steenstrup, "Genetic Algorithms and Simulated Annealing: An Overview," in Genetic Algorithms and Simulated Annealing, Chapter 1, pp. -11, Dec. 1987.
J.J. Grefenstette, "Incorporting Problem Specific Knowledge into Genetic Algorithms," in Genetic Algorithms and Simulated Annealing, Chapter 4, pp. 42-60, Dec. 1987.
D.H. Ackley, "Empirical Study of Bit Vector Function Optimization," in Genetic Algorithms and Simulated Annealing, Chapter 13, pp. 171-204, Dec. 1987.
P.P. Mutalik, et al., Solving Combinatorial Optimization Problems Using Parallel Simulated Annealing and Parallel Genetic Algorithms, Proc. 1992 ACM/SIGAPP Symposium on Applied Computing, vol. II, pp. 1031-1038, Dec. 1992.
W.E. Hart, "A Theoretical Comparison of Evolutionary Algorithms and Simulated Annealing," Proc. Fifth Annual Conf. on Evolutionary Programming, pp. 147-154, Feb. 1996.
Davis, L, Genetic Algorithms and Simulated Annealing, Morgan Kaufmann Pub., pp. 1-11, Dec. 1987.
B. Stuckman, et al., "Comparison of Global Search Methods for Design Optimization using Simulation," Proc. 1991 Winter Simulation Conf., pp. 937-944, Dec. 1991.
A. Moilanen, "Parameterization of a metapopulation model: an empirical comparison of several different genetic algorithms, simulated annealing and tabu search," 1995 IEEE Int'l. Conf. on Evolutionary Computation, vol. 2, pp. 551-556, Nov. 1995.
Carrier, J.-Y., "Genetic algorithm for multiple target tracking data association," Proc. of the SPIE, vol. 2739, pp. 180-190, Apr. 1996.
R.A. Iltis and K.L. Anderson, "A Consistent Estimation Criterion for Multisensor Bearings-Only Tracking," IEEE Trans. on Aerospace and Electronic Systems, vol. 32(1), pp. 108-120, Jan. 1996.
F. Liu, et al., "Multisensor data fusion based on genetic algorithm," Proc. SPIE--The Int'l. Society for Optical Engineering, vol. 2898, pp. 43-48, Nov. 1996.
D. Ferkinhoff et al., "An Efficient Genetic Algorithm for Contact Tracking", 5 Proc. of the Artificial Neural Networks in Engineering Conf. on Fuzzy Logic and Evolutionary Programming 387-92 (1995).
D.J. Ferkinhoff et al., "Applying Random Search Algorithms to Target Motion Analysi", Naval Undersea Warfare Center Div. Technical Report NUWC-NPT-TR-10-472 (1996).
D.J. Ferkinhoff et al., "Performance Characterization of Artificial Neural Networks for Contact Tracking", 2 Proceedings of Oceans '93 Conference (1993).
S.E. Hammel et al., "Recursive Versus Batch Processing Algorithms for Bearings-Only Tracking" 1 Proc. of the Oceans '83 Conf. on Effective Use of the Sea: An Update 50-61 (1983).
Ferkinhoff David J.
Gong Kai F.
Hammel Sherry E.
Hafiz Tariq R.
Lall Prithvi C.
McGowan Michael J.
Oglo Michael F.
Pender Michael
LandOfFree
System and method for tracking vehicles using random search algo does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with System and method for tracking vehicles using random search algo, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for tracking vehicles using random search algo will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2222734