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# 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} }

- Published in J. Comb. Optim. 2014
DOI:10.1007/s10878-014-9710-8

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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