@article{MAKHILLIJSC20072320842,
    title = {An Efficient Genetic a Lgorithm to Solve the Problem of the STEG Economic Power Dispatch},
    journal = {International Journal of Soft Computing},
    volume = {2},
    number = {3},
    pages = {373-377},
    year = {2007},
    issn = {1816-9503},
    doi = {ijscomp.2007.373.377},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2007.373.377},
    author = {I. Bekri-Abbes,H. Rahmouni and},
    keywords = {Economic power dispatch,genetic algorithm,spinning reserve,load demand},
    abstract = {In the new competitive electricity supply industry, there is a renewed interest in algorithms that can provide saving in operation cost. An optimal scheduling of generators can provide substantial annual saving in fuels costs. But this highly constrained non linear mixed integer optimization problem can only be fully solved by complete enumeration, a process which is not computationally feasible for realistic power systems. An attempt has been made in this research to solve the problem of power economic dispatch of the Societe Tunisienne d’Electricite et du Gaz (STEG) using Genetic Algorithm.}
    }