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A fuzzy Bi-objective multi-commodity minimum cost flow-based perishable food transportation problem and its harmony search algorithm

In this paper, a multi-commodity minimum cost flow-based optimization model for perishable food transportation is proposed and the corresponding mathematical model is constructed. This model takes many characteristics of perishable food transportation into consideration, including the perishability, the imbalance between supply and demand, and the fuzziness of information. It establishes two objective functions according to the trade-off relation of cold chain logistics. Fuzzy parameters are defuzzified by using the graded mean integration. To solve the problem, a harmony search-based algorithm is proposed and presented in this paper. Computational results indicate our algorithm is effective.