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Genetic Algorithm for Traveling Salesman Problem with Modified Cycle Crossover Operator
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 travel...
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| Veröffentlicht in: | Comput Intell Neurosci |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Hindawi
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5676484/ https://ncbi.nlm.nih.gov/pubmed/29209364 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/7430125 |
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