DocumentCode
1668641
Title
Determining optimal configuration for turbine generator cooler
Author
Majumdar, Nivedita Sumi ; Dasgupta, Dipankar
Author_Institution
Dept. of Math. Sci., Univ. of Memphis, TN, USA
Volume
1
fYear
2002
Firstpage
1009
Lastpage
1014
Abstract
Configuration problems with hierarchical decision-tree structures are difficult to encode for solution using simple genetic algorithms. The chromosomes typically require fitness-evaluating schemes with steep gradients to optima. Solutions get stuck at local optima. We used a GA that can control the expression of over-specified chromosomes for exploring the multilevel search-space. Experiments to configure a turbine generator cooler are performed and results are reported
Keywords
cooling; decision trees; genetic algorithms; power engineering computing; search problems; turbogenerators; fitness evaluating schemes; genetic algorithm; hierarchical decision tree structures; multilevel search space; optimal configuration; over-specified chromosomes; steep gradients; turbine generator cooler; Biological cells; Computer science; Energy management; Genetic algorithms; Manufacturing; Power generation; Power system management; Process design; Tree data structures; Turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1007063
Filename
1007063
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