Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
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.
How to cite this article:
Mohammad Mohammadi Najafabadi and Sara Mansouri. Optimization of Fuzzy Multi-Criteria Transportation Problems: A Case of Specific Hybrid Evolutionary Algorithm.
DOI: https://doi.org/10.36478/jeasci.2016.112.118
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2016.112.118