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
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1007063
