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• W2783144688 abstract "Swarm-based metaheuristics, inspired from intelligent social behaviors in nature, have achieved wider acceptance among researchers as compared to other population-based methods. The success of any swarm-based algorithm highly depends upon the mechanism of social interaction which maintains the balance between exploration and exploitation. This research examines these two significant cornerstones of top five swarm-based metaheuristics using diversity measurement. The results show that ACO and FA maintained balance between exploration and exploitation throughout iterations thus achieved better results as compared to counterparts taken in this study." @default.
• W2783144688 created "2018-01-26" @default.
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• W2783144688 date "2018-01-01" @default.
• W2783144688 modified "2023-10-01" @default.
• W2783144688 title "Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analysis" @default.
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• W2783144688 doi "https://doi.org/10.1007/978-3-319-72550-5_3" @default.
• W2783144688 hasPublicationYear "2018" @default.
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