An article dissertates on application of the graph theory, specifically traveling salesman problem. In paper are describe methods for traveling salesman problem solution. There are method branch and bound, method branch and cut, method branch and price, greedy algorithm, local search method, hill climbing algorithm, method taboo search, method simulated annealing, genetic algorithms, ant colony, bee colony, particle swarm optimization. All methods are described briefly and theoretically.
Article dealt with general description of simulation models. The opportunities and advantages of applying simulation models in supply chains are given. At the end of article is suggested way of utilization simulation models by the benchmarking.
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