Comparison of genetic algorithm methods for fuel management optimization
Conference
·
OSTI ID:459191
- Pennsylvania State Univ., University Park, PA (United States)
The CIGARO system was developed for genetic algorithm fuel management optimization. Tests are performed to find the best fuel location swap mutation operator probability and to compare genetic algorithm to a truly random search method. Tests showed the fuel swap probability should be between 0% and 10%, and a 50% definitely hampered the optimization. The genetic algorithm performed significantly better than the random search method, which did not even satisfy the peak normalized power constraint.
- OSTI ID:
- 459191
- Report Number(s):
- CONF-950420--
- Country of Publication:
- United States
- Language:
- English
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