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- W2332561436 abstract "A genetic algorithm (GA) and Fuzzy Logic System (FLS) based approach to the path representation of a variant of the Traveling Salesman Problem (TSP), the Multi-Depot Polygon Visiting Dubins Multiple Traveling Salesman Problem (MDPVDMTSP) is presented. Utilizing a hybridization of control techniques, this work effectively and efficiently approximates path planning and visbility problems encountered by a UAV swarm in the constant altitude, constant velocity, two-dimensional case. Benchmarking capabilities only exist for a 20 polygon PVDTSP case (1 UAV), but for this case a 9.8% increase in accuracy along with an order of magnitude decrease in run-time was found compared to the alternative method, despite utilizing a slower computer and programming language. Over 100 runs, the best solution was found 99% of the times, with a 1% chance of settling to a local minima. Comparison opportunities for MDPVDMTSP’s are currently not present, but the algorithms work similarly well for this scenario. MDPVDMTSP’s with 250 polygons, 20 UAV’s, and 4 different depots can be accurately approximated in under 30 seconds on the same machine. Being a combination of approximate methods, a decrease in run-time was expected, however the accuracy of this work shows great future promise for more complex variants of this problem." @default.
- W2332561436 created "2016-06-24" @default.
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- W2332561436 date "2012-06-19" @default.
- W2332561436 modified "2023-10-16" @default.
- W2332561436 title "Fuzzy Clustering Based Genetic Algorithm for the Multi-Depot Polygon Visiting Dubins Multiple Traveling Salesman Problem" @default.
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- W2332561436 doi "https://doi.org/10.2514/6.2012-2562" @default.
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