A genetic algorithm based approach to thermal unit commitment of electric power systems

By Ma X.   El-Keib A.A.   Smith R.E.   Ma H.  

Electric Power Systems Research, Vol. 34, Iss. 1, 1995-07 ,pp. : 29-36

Elsevier

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A solution for unit commitment using Lagrangian relaxation combined with evolutionary programming

By Duo H.   Sasaki H.   Nagata T.   Fujita H.  

Electric Power Systems Research, Vol. 51, Iss. 1, 1999-07 ,pp. : 71-77

Elsevier

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Hybrid Genetic Algorithm-Based Unit Commitment

By Paranjothi S. R.   Balaji V.  

Electric Power Components and Systems, Vol. 30, Iss. 10, 2002-10 ,pp. : 1047-1054

Taylor & Francis Ltd

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Unit commitment using a hybrid model between Lagrangian relaxation and genetic algorithm in competitive electricity markets

By Yamin H.Y.   Shahidehpour S.M.  

Electric Power Systems Research, Vol. 68, Iss. 2, 2003-02 ,pp. : 83-92

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Solving the unit commitment problem with a genetic algorithm through a constraint satisfaction technique

By Pai-Chuan Y.   Hong-Tzer Y.   Ching-Lien H.  

Electric Power Systems Research, Vol. 37, Iss. 1, 1996-04 ,pp. : 55-65

Elsevier

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