TECHNICAL PAPERS: Gas Turbines: Aircraft Engine

Application of Genetic Algorithms in the Engine Technology Selection Process

[+] Author and Article Information
Bryce Roth, Chirag Patel

School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0150

J. Eng. Gas Turbines Power 126(4), 693-700 (Nov 24, 2004) (8 pages) doi:10.1115/1.1772404 History: Received October 01, 2002; Revised March 01, 2003; Online November 24, 2004
Copyright © 2004 by ASME
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Kirby, M. R., and Mavris, D. N., 2001, “A Technique for Selecting Emerging Technologies for a Fleet of Commercial Aircraft to Maximize R&D Investment,” Paper No. SAE2001-01-3018.
Mavris, D. N., Kirby, M. R., and Qiu, S., 1998, “Technology Impact Forecasting for a High Speed Civil Transport,” Paper No. SAE-985547.
Kirby, M. R., 2001, “A Method for Technology Identification, Evaluation and Selection in Conceptual and Preliminary Aircraft Design,” Ph.D. thesis, Georgia Institute of Technology, Atlanta, GA.
Roth, B., German, B. J., Mavris, D. N., and Macsotai, N., 2001, “Adaptive Selection of Engine Technology Solution Sets From a Large Combinatorial Space,” Paper No. AIAA2001-3208.
Kauffman, S., 1995, At Home in the Universe, Oxford University Press, New York, p. 56.
Roth, B. A., Ender, T., and Mavris, D. N., 2002, “Technology Portfolio Assessments Using a Modified Genetic Algorithm Approach,” Paper No. AIAA2002-5424.
Goldberg, D. E., 1989, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA.
Khuri, S., Back, Th., and Heitkotter, J., 1994, “An Evolutionary Approach to Combinatorial Optimization Problems,” Proc. of the 22nd Annual ACM Computer Science Conference, D. Cizmar, ed., ACM Press, New York, pp. 66–73.
Muhlenbein, H., 1992, “How Genetic Algorithms Really Work: I. Mutation and Hill Climbing,” R. Manner and B. Manderick, eds., Parallel Problem Solving From Nature, 2 , Elsevier, Amsterdam, pp. 15–25.
Back, Th., and Schutz, M., 1996, “Intelligent Mutation Rate Control in Canonical Genetic Algorithms,” Foundations of Intelligent Systems, 9th International Symposium ISMIS ’96 (Volume Lecture Notes in Artificial Intelligence 1079), Springer-Verlag, New York, pp. 158–167.
Back, Th., 1992, “The Interaction of Mutation Rate, Selection and Self Adaptation Within a Genetic Algorithm,” Parallel Problem Solving From Nature, 2 , R. Manner and B. Manderick, eds., Elsevier, Amsterdam, pp. 85–94.
Roth, B. A., Mavris, D. N., Graham, M. D., and Macsotai, N. I., 2002, “Adaptive Selection of Pareto-Optimal Engine Technology Solution Sets,” 23rd Congress of the International Aeronautical Sciences, Toronto, Sept. 8–13.
Horn, J., Nafpliotis, N., and Goldberg, D. E., 1994, “A Niched Pareto Genetic Algorithm for Multiobjective Optimization,” Proceedings of the First IEEE Conference of Evolutionary Computation, Orlando, FL. IEEE, Piscataway, NJ.
Fonseca, C. M., and Fleming, P. J., 1993, “Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization,” Proceedings of the Fifth International Conference on Genetic Algorithms, Morgan-Kauffman, San Mateo, CA.


Grahic Jump Location
Technology combinatorial space
Grahic Jump Location
Frequency of occurrence of each technology in final population
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Evolution of population through 180 generations
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Logical constraints on technologies (from Ref. 4)
Grahic Jump Location
Three-way Boolean technology interactions
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Variation of permissible technology combinations with incompatibilities
Grahic Jump Location
Variation of permissible technology combinations with enabling constraints
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Evolution of relative production cost score
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Evolution of relative fuel burn
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Number of incompatibilities as a function of population generation




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