A hybrid biased random key genetic algorithm approach for the unit commitment problem

@article{Roque2014AHB,
  title={A hybrid biased random key genetic algorithm approach for the unit commitment problem},
  author={Lu{\'i}s A. C. Roque and Dalila B. M. M. Fontes and Fernando A. C. C. Fontes},
  journal={J. Comb. Optim.},
  year={2014},
  volume={28},
  pages={140-166}
}
This work proposes a hybrid genetic algorithm to address the Unit Commitment (UC) problem. In the UC problem, the goal is to schedule a subset of a given group of electrical power generating units and also to determine their production output in order to meet energy demands at minimum cost. In addition, the solution must satisfy a set of technological and operational constraints. The algorithm developed is a Hybrid Biased Random Key Genetic Algorithm (Hybrid BRKGA). The biased random key… CONTINUE READING
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