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- W270271447 abstract "We study the behavior and performance of island-based multimemetic algorithms, namely memetic algorithms which explicitly represent and evolve memes alongside solutions, in unstable computational environments whose topology is modeled as scale-free networks, a pattern of connectivity observed in real-world networks, such as peer-to-peer systems. We consider the utilization of self-balancing strategies in order to efficiently adjust population sizes to cope with the phenomenon of churn, as well as the dynamic re-wiring of connections in order to deal with connectivity losses caused by node failures. A broad experimental evaluation on different problems and computational scenarios featuring diverse volatility conditions shows that the combination of these two strategies leads to more robust performances, in particular in situations in which churn rates are large." @default.
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- W270271447 date "2015-01-01" @default.
- W270271447 modified "2023-10-03" @default.
- W270271447 title "Self-Balancing Multimemetic Algorithms in Dynamic Scale-Free Networks" @default.
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- W270271447 doi "https://doi.org/10.1007/978-3-319-16549-3_15" @default.
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