Intelligent automated control of life support systems using proportional representations

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 34, Issue 3, 2004, Pages 1423-1434

  Wu, Annie S ^a   Garibay, Ivan I ^a  

^a University of Central Florida   (United States)

Author keywords

Gene expression; Genetic algorithm (GA); Life support system control; Proportional genetic algorithm; Proportional representation; Resource allocation; Stochastic hill climbing (SH)

Indexed keywords

AUTOMATION; COMPUTER CONTROL SYSTEMS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; OPTIMIZATION; RANDOM PROCESSES; RESOURCE ALLOCATION; SPACE RESEARCH;

ADVANCED SUPPORT LIFE SYSTEMS; INTELLIGENT AUTOMATED CONTROL; PROPORTIONAL GENETIC ALGORITHMS; PROPORTIONAL REPRESENTATION; STOCHASTIC HILL CLIMBING;

LIFE SUPPORT SYSTEMS (SPACECRAFT);

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPARATIVE STUDY; EVALUATION; FEEDBACK SYSTEM; METHODOLOGY; MICROCLIMATE; ROBOTICS; SPACE FLIGHT; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FEEDBACK; LIFE SUPPORT SYSTEMS; ROBOTICS; SPACE FLIGHT;

EID: 2942604380     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2004.824522     Document Type: Article

References (41)

1. P. Abrahams,R. Balart, J. Byrnes, D. Cochran, M. J. Larkin, W. Moran, G. Ostheimer, and A. Pollington, "MAAP: The military aircraft allocation planner," Proc. IEEE World Congr. Computer Intelligence, pp. 336-341, 1998.
2. D. Ackley, A Connectionist Machine for Genetic Hill-climbing. Norwell, MA: Kluwer, 1987.
3. S. Baglioni, D. Sorbello, C. da Costa Pereira, and A. G. B. Tettamanzi, "Evolutionary multiperiod asset allocation," in Proc. Genetic and Evolutionary Computation Conf. (GECCO), 2000, pp. 597-604.
4. D. J. Barta, J. M. Castillo, and R. E. Fortson, "The biomass production system for the bioregenerative planetary life support systems test complex: Preliminary designs and considerations," in Proc. 29th Int. Conf. Environmental Systems, Paper 1999-01-2188, 1999.
5. R. P. Bonasso, J. Firby, E. Gat, D. Kortenkamp, D. P. Miller, and M. G. Slack, "Experiences with an architecture for intelligent, reactive agents," J. Explor. Theor. Artificial Intell., vol. 9, no. 2/3, pp. 237-256, 1997.
6. Handbook of Evolutionary Computation, T. Bäck, D. B. Fogel, and Z. Michalewicz, Eds., IOP/Oxford Univ. Press, Bristol/Oxford, U.K., 1997.
7. D. S. Burke, K. A. De Jong, J. J. Grefenstette, C. L. Ramsey, and A. S. Wu, "Putting more genetics into genetic algorithms," Evol. Comput., vol. 6, no. 4, pp. 387-410, 1998.
8. A. R. Callaghan, A. R. Nair, and K. E. Lewis, "A genetic algorithm based method for optimal resource allocation: A case study of the buffalo niagara international airport expansion," in Proc. 3rd World Congr. Structural and Multidisciplinary Optimization, 1999.
9. P. C. Cheng and H. A. Simon, "The right representation for discovery: Finding the conservation of momentum," in Proc. 9th Int. Workshop on Machine Learning, 1992, pp. 62-71.
10. D. Cousins, J. Loomis, F. Roeber, P. Schoeppner, and A.-E. Tobin, "The embedded genetic allocator - A system to automatically optimize the use of memory resources in high performance, scalable computing systems," in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, vol. 3, pp. 1998, pp. 2166-2171.
11. S. S. Crawford, C. W. Pawlowski, and C. K. Finn, "Power management in regenerative life support systems using market-based control," in Proc. ICES, 2000.
12. L. Davis, "Bit-climbing, representational bias, and test suite design," in Proc. 4th Int. Conf. Genetic Alg (ICGA), L. Booker and R. Belew, Eds., 1991, pp. 18-23.
13. T. G. Dietterich and R. S. Michalski, "A comparative review of selected methods for learning from examples," in Mach. Learn. New York, 1983, pp. 41-81.
14. L. J. Eshelman, R. A. Caruana, and J. D. Schaffer, "Biases in the crossover landscape," in Proc. 3rd ICGA, 1989, pp. 10-19.
15. C. K. Finn, "Dynamic System Modeling of Regenerative Life Support Systems," NASA Ames Res. Ctr., Tech. Rep. 1999-01-2040, 1999.
16. D. H. Fleisher and K. C. Ting, "Modeling and control of plant production for advanced life support," in Acta Horticult., 2001.
17. I. I. Garibay and A. S. Wu, "Advanced life support system simulation," Univ. Central Florida, Orlando, Tech. Rep. CS-TR-03-05, 2003.
18. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesley, 1989.
19. S. Goudarzi and K. C. Ting, "Top level modeling of crew component of alss," in Proc. 29th Int. Conf. Environmental Systems, 1999.
20. J. H. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor: Univ. of Michigan Press, 1975.
21. A. Juels and M. Wattenberg et al., "Hillclimbing as a baseline method for the evaluation of stochastic optimization algorithms," in Advances Neural Info. Process. Syst., vol. 8, D. S. Touretzky et al., Eds., 1995, pp. 430-436.
22. D. Kortenkamp and S. Bell, "BioSim: An integrated simulation of an advanced life support system for intelligent control research," in Proc. 7th Int. Symp. AI, Robotics, and Automation in Space, 2003.
23. D. Kortenkamp, R. P. Bonasso, and D. Subramanian, "Distributed, autonomous control of space habitats," in Proc. IEEE Aerospace Conf., 2001.
24. J. H. Larkin and H. A. Simon, "Why a diagram is (sometimes) worth ten thousand words," Cogn. Sci., vol. 11, pp. 65-99, 1987.
25. T. L. Lau and E. P. K. Tsang, "The guided genetic algorithm and its application to the generalized assignment problem," in Proc. 10th IEEE Int. Conf. Tools with AI, 1998, pp. 336-343.
26. K. Mathias and L. D. Whitley, "Transforming the search space with gray coding," in Proc. IEEE Conf. Evol. Comput., 1994, pp. 513-518.
27. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs. New York: Springer-Verlag, 1998, ch. 10
28. M. Mitchell, J. H. Holland, and S. Forrest, "When will a genetic algorithm outperform hill climbing," Adv. Neural Info. Processing Syst., vol. 6, pp. 51-58, 1994.
29. Handbook of Evolutionary Computation, T. Bäck, D. B. Fogel, and Z. Michalewicz, Eds., IOP Pub. Ltd. & Oxford Univ. Press, 1997, V. Nissen, "Management applications and other classical optimization problems'.
30. Y. Owechko and S. Shams, "Comparison of neural network and genetic algorithms for a resource allocation problem," IEEE World Congr. Computational Intelligence, vol. 7, pp. 4655-4660, 1994.
31. S. Palaniappan, S. Zein-Sabatto, and A. Sekmen, "Dynamic multiobjective optimization of war resource allocation using adaptive genetic algorithms," in Proc. IEEE Southeast Conf., 2001, pp. 160-165.
32. S. Papavassiliou, A. Puliafito, O. Tomarchio, and J. Ye, "Integration of mobile agents and genetic algorithms for efficient dynamics network resource allocation," in Proc. 6th IEEE Symp. Computers and Communications, 2001, pp. 456-463.
33. ____, "Mobile agent-based approach for efficient network management and resource allocation: Framework and applications," IEEE J. Select. Areas Commun., vol. 20, pp. 858-872, Apr. 2002.
34. C. Sammut, "Knowledge representation," in Machine Learning, Neural and Statistical Classification. ser. Ellis Horwood, D. Michie, D. J. Spiegelhalter, and C. C. Taylor, Eds. Englewood Cliffs, NJ: Prentice-Hall, 1994, pp. 228-245.
35. D. Schreckenghost, C. Thronesbery, P. Bonasso, D. Kortenkamp, and C. Martin, "Intelligent control of life support for space missions," IEEE Intell. Syst., pp. 24-31, Sept./Oct. 2002.
36. M. R. Sherif, I. W. Habib, M. Nagshineh, and P. Kermani, "A generic bandwidth allocation scheme for multimedia substreams in adaptive networks using genetic algorithms," in Proc. Wireless Communications and Networking Conf., vol. 3, 1999, pp. 1243-1247.
37. ____, "Adaptive allocation of resources and call admission control for wireless ATM using genetic algorithms," IEEE J. Select. Areas Commun., vol. 18, pp. 268-282, Feb. 2000.
38. T. O. Tri, "Bioregenerative planetary life support systems test complex (BIO-Plex): Test mission objectives and facility development," in Proc. 29th Int. Conf. Environmental. Systems, Paper 1999-01-2186, 1999.
39. M. Williams, "Making the best use of the airways: An important requirement for military communications," Electron. Commun. Eng. J., pp. 75-83, 2000.
40. D. H. Wolpert and W. G. Macready, "No free lunch theorems for optimization," IEEE Trans. Energy Conversion, vol. 1, pp. 67-82, Jan. 1997.
41. A. S. Wu and I. Garibay, "The proportional genetic algorithm: Gene expression in a genetic algorithm," Genetic Programming and Evolvable Hardware, vol. 3, no. 2, pp. 157-192, 2002.