In the April issue of this Newsletter I produced an article about the application of insect behavioural patterns to common OR problems. In particular I wrote about Marco Dorigo and his team at the Free University of Brussels, and their work with ant-like agents applied in that instance to the travelling salesman problem TSP. At this time it occurred to me that the majority of OR oriented minds had been presented with the TSP or variations of, for a very considerable time. TSP is a problem which is both short and easy to state: given a finite number of cities along with the cost of travel between each pair of them, and with the object of finding the cheapest way of visiting all the cities and returning the original point of departure.
Literature Review on Travelling Salesman Problem | Dahiya | International Journal of Research
Sign In. Travelling Salesman Hide Spoilers. I believe it is a travesty that this film has such a low score on here. The only thing I can attribute it to is that today's viewers have an attention span of a raccoon trapped in a treasure chest.
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Genetic algorithms are evolutionary techniques used for optimization purposes according to survival of the fittest idea. These methods do not ensure optimal solutions; however, they give good approximation usually in time. The genetic algorithms are useful for NP-hard problems, especially the traveling salesman problem. The genetic algorithm depends on selection criteria, crossover, and mutation operators.
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