Determining optimal configuration for turbine generator cooler


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