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- W4385722881 abstract "Abstract In order to improve the efficiency of ACO algorithm in solving TSP problems with multi-cluster features, concepts of domain and density are defined. Then an improved ACO algorithm named MC-ACO is proposed for TSP with multi-cluster feature. The basic principles and Strategies of MC-ACO algorithm are introduced. The releasing mechanism of pheromone is analyzed, and probability of the next node selection in the final domain is processed to distinguish the different behaviors of ants inside and outside the clusters. The progress of the MC-ACO algorithm involving the jump process between clusters is illustrated in detail. Finally, this work makes some simulation experiments for TSP with MC-ACO and ACS, the test results show that MC-ACO has obvious advantages over ACS algorithm in solving TSP problems which have multiple clusters and large scale of nodes." @default.
- W4385722881 created "2023-08-11" @default.
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- W4385722881 date "2023-08-10" @default.
- W4385722881 modified "2023-10-16" @default.
- W4385722881 title "An Improved Algorithm for Multi-Clusters TSP Based on ACO" @default.
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- W4385722881 doi "https://doi.org/10.21203/rs.3.rs-3180619/v1" @default.
- W4385722881 hasPublicationYear "2023" @default.
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