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- W2968140897 abstract "For large set k-covering problems, finding the set of core columns (CC), which includes columns for which it is hard to decide their status in the optimal solution, and searching CC only can improve heuristic and meta-heuristic algorithms. In this paper, we introduce an independent Max-Min ant system with information exchange about core columns (IMMAS-CC). In this algorithm, ants start with different CC sets. Ants exchange information about their CC sets, with a limited number of their neighbours; consequently, neighbouring ants will include and exclude columns from CC. Each ant has its own pheromone matrix, and a novel pheromone updating mechanism is used by ants, which depends on local information obtained from their neighbourhoods, giving ants more independence compared to traditional ACO algorithms where a single pheromone matrix is used. Using three sets of instances having different values of K, better results were obtained compared to a previous MMAS that uses a single pheromone matrix; moreover, competitive results were obtained using IMASS-CC with respect to the state-of-the-art algorithm." @default.
- W2968140897 created "2019-08-22" @default.
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- W2968140897 date "2019-06-01" @default.
- W2968140897 modified "2023-09-27" @default.
- W2968140897 title "Ants for Identifying and Optimizing the Core Set K-Covering Problem" @default.
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- W2968140897 doi "https://doi.org/10.1109/cec.2019.8790212" @default.
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