Mohammad Mohammadi  Najafabadi, Sara  Mansouri, 
    Optimization of Fuzzy Multi-Criteria Transportation Problems: A Case of Specific Hybrid Evolutionary Algorithm,
    Journal of Engineering and Applied Sciences,
    Volume 11,Issue 1,
    2016,
    Pages 112-118,
    ISSN 1816-949x,
    jeasci.2016.112.118,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2016.112.118)
    Abstract: The problem of transportation is one of the most frequently problems considered in the field of research in operations. In previous studies, by considering issues such as different transportation vehicles, the number of goods and different objective functions, it was tried to make the model more realistic. In this study, in addition to considering these items in the proposed model, the uncertainty in the model is considered and for this purpose, fuzzy theory is used. In the proposed model, in addition to parameters, decision variables are defined as triangular fuzzy numbers.
    Keywords: Transportation problem;fuzzy linear programming;hybrid evolutionary algorithms;fuzzy optimization;functions