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- W2334861777 abstract "As a continuation of the previous work, under the title “Fuzzy Clustering based Genetic Algorithm for the Multi-Depot Polygon Visiting Dubins Multiple Traveling Salesman Problem”, the techniques described prior [1,2] have since been applied to more complex variants of the Traveling Salesman Problem (TSP). In particular, this paper presents the results of exploring the min-max, or time optimal, variant of the MDPVDMTSP (henceforth referred to as the Min-Max Variant, or MMV), and the Multi-Objective Variant (MOV). Development and integration of genetic fuzzy systems has brought great progress to this research, enabling the algorithms to more closely simulate and solve problems that UAV swarms could encounter. The powerful heuristic methods utilized via multiple genetic algorithms (GA) an fuzzy logic systems (FLS) allow the code to have a very slow climb in computational cost with problem size, while still maintaining a high degree of accuracy." @default.
- W2334861777 created "2016-06-24" @default.
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- W2334861777 date "2013-01-05" @default.
- W2334861777 modified "2023-09-25" @default.
- W2334861777 title "Collaborative Tasking of UAVs Using a Genetic Fuzzy Approach" @default.
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- W2334861777 doi "https://doi.org/10.2514/6.2013-1032" @default.
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