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

Author： Ma X.   El-Keib A.A.   Smith R.E.   Ma H.  

Publisher： Elsevier

ISSN： 0378-7796

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

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

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

Access to resources Recommend Favorite

A Thermal Unit Commitment Approach Using an Improved Quantum Evolutionary Algorithm

By Jeong Yun-Won  

Electric Power Components and Systems, Vol. 37, Iss. 7, 2009-07 ,pp. : 770-786

Taylor & Francis Ltd

Access to resources Recommend Favorite

A new genetic-based tabu search algorithm for unit commitment problem

By Mantawy A.H.   L. Abdel-Magid Y.   Z. Selim S.  

Electric Power Systems Research, Vol. 49, Iss. 2, 1999-03 ,pp. : 71-78

Elsevier

Access to resources Recommend Favorite

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

Access to resources Recommend Favorite

Imperialistic Competitive Algorithm Based Unit Commitment Considering Risk of Cascading Blackout

By Tavakoli Atrin   Sanjari Mohammad Javad   Karami Hossein   Hosseinian Seyed Hossein   Gharehpetian Gevork Babamalek  

Electric Power Components and Systems, Vol. 43, Iss. 4, 2015-02 ,pp. : 374-383

Taylor & Francis Ltd

Access to resources Recommend Favorite