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Öğe Genetic algorithm representation types for a two-stage supply chain distribution problem(Computers and Industrial Engineering, 2014) Dosdogru, A.T.; Geyik, F.; Göçken, M.This paper handles representation types of genetic algorithm for a two-stage supply chain distribution problem. In this respect, three representation types are selected, namely priority-based, permutation and matrix representation. Genetic algorithm is designed for all representation types by considering a two-stage supply chain distribution problem. The objective function is selected as total distribution cost with fixed charges. Twenty problems are selected from literature to compare representation types. Each problem is solved by using genetic algorithms considering representation types and performances of algorithms are compared. Computational results showed that priority-based representation and permutation representation are more efficient than the matrix representation in terms of computational times.
