Empirical Convergence Analysis of GA for Unit Commitment Problem
D. Butala, D. Velušček, G. Papa
Fifth International Conference on Bioinspired Optimization Methods and their Applications (BIOMA) BIOMA 2014
Ljubljana, Slovenia, 13 September, 2014
This paper presents an implementation and empirical convergence analysis results of genetic algorithm for solving unit commitment problem in a power market. Various parameter settings are presented including an algorithm with a sequence of parameters, also called a variablestructure genetic algorithm. Implemented algorithm successfully solves both small and large scale problems and shows how much more efficient variable-structure genetic algorithm is in practice.
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