Determining optimal configuration for turbine generator cooler
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. © 2002 IEEE.
Publication Title
Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002
Recommended Citation
Majumdar, N., & Dasgupta, D. (2002). Determining optimal configuration for turbine generator cooler. Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, 1, 1009-1014. https://doi.org/10.1109/CEC.2002.1007063
