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      Genetic Algorithms and the Traveling Salesman Problem a historical Review

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          Abstract

          In this paper a highly abstracted view on the historical development of Genetic Algorithms for the Traveling Salesman Problem is given. In a meta-data analysis three phases in the development can be distinguished. First exponential growth in interest till 1996 can be observed, growth stays linear till 2011 and after that publications deteriorate. These three phases are examined and the major milestones are presented. Lastly an outlook to future work in this field is infered.

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          Most cited references 13

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          Adaptive probabilities of crossover and mutation in genetic algorithms

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            A survey of parallel distributed genetic algorithms

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              A random-key genetic algorithm for the generalized traveling salesman problem

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                Author and article information

                Journal
                17 January 2019
                Article
                10.13140/RG.2.2.22632.78088/1
                1901.05737

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                Custom metadata
                cs.NE cs.LG stat.ML

                Machine learning, Neural & Evolutionary computing, Artificial intelligence

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