The objective of this paper is to demonstrate the application of genetic algorithms to the engine technology selection process. The “technology identification, evaluation, and selection” method is discussed in conjunction with genetic algorithm optimization as a technique to quickly evaluate the impact of various technologies and select the subset with the highest potential payoff. Techniques used to model various aspects of engine technologies are described, with emphasis on technology constraints and their impact on the combinatorial optimization of technologies. Challenges include objective function formulation and development of models to deal with incompatibilities among different technologies. Typical results are presented for an 80-technology optimization using various visualization techniques to assist in easy interpretation of genetic algorithm results. Finally, several ideas for future development of these methods are briefly explored.
Skip Nav Destination
Article navigation
October 2004
Technical Papers
Application of Genetic Algorithms in the Engine Technology Selection Process
Bryce Roth,
Bryce Roth
School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0150
Search for other works by this author on:
Chirag Patel
Chirag Patel
School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0150
Search for other works by this author on:
Bryce Roth
School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0150
Chirag Patel
School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0150
Contributed by the International Gas Turbine Institute (IGTI) of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Paper presented at the International Gas Turbine and Aeroengine Congress and Exhibition, Atlanta, GA, June 16–19, 2003, Paper No. 2003-GT-38482. Manuscript received by IGTI, Oct. 2002, final revision, Mar. 2003. Associate Editor: H. R. Simmons.
J. Eng. Gas Turbines Power. Oct 2004, 126(4): 693-700 (8 pages)
Published Online: November 24, 2004
Article history
Received:
October 1, 2002
Revised:
March 1, 2003
Online:
November 24, 2004
Citation
Roth , B., and Patel, C. (November 24, 2004). "Application of Genetic Algorithms in the Engine Technology Selection Process ." ASME. J. Eng. Gas Turbines Power. October 2004; 126(4): 693–700. https://doi.org/10.1115/1.1772404
Download citation file:
Get Email Alerts
Cited By
Cooled Spray Technology for Particulate Reduction in a Heavy-Duty Engine
J. Eng. Gas Turbines Power
Prediction and Analysis of Transient Turbine Tip Clearance Using Long Short-Term Memory Neural Network
J. Eng. Gas Turbines Power
Gas Turbine's Role in Energy Transition
J. Eng. Gas Turbines Power (October 2024)
The Effect of Swirl Number on Lean Blow Out Limits of Lean Direct Injection Combustors
J. Eng. Gas Turbines Power (October 2024)
Related Articles
Assessment of Multiobjective Genetic Algorithms With Different Niching Strategies and Regression Methods for Engine Optimization and Design
J. Eng. Gas Turbines Power (May,2010)
Mechanical Efficiency Optimization of a Sliding Vane Rotary Compressor
J. Pressure Vessel Technol (December,2009)
Ramjet Powered Missile Design Using a Genetic Algorithm
J. Comput. Inf. Sci. Eng (June,2007)
Designing the Dynamic Behavior of an Engine Suspension System Through Genetic Algorithms
J. Vib. Acoust (October,2001)
Related Chapters
Determination of Induction Motor Parameters by Differential Evolution Algorithm and Genetic Algorithms
International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)
IBC: Individual Based Choice
International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)
Optimization of Fuzzy Inference System Using Modified Genetic Algorithm
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)