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• W1488004103 abstract "In this work we present a particular encoding and fitness evaluation strategy for a genetic approach in the context of searching in graphs. In particular, we search for a spanning tree in the universe of directed graphs under certain constraints related to the topology of the graphs considered. The algorithm was also implemented and tested as a new topological approach to electrical power network observability analysis and was revealed as a valid technique to manage observability analysis when the system is unobservable. The algorithm was tested on benchmark systems as well as on networks of realistic dimensions.KeywordsPower SystemEncode SchemeObservability AnalysisSampling WindowTopological ApproachThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
• W1488004103 created "2016-06-24" @default.
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• W1488004103 date "2009-01-01" @default.
• W1488004103 modified "2023-09-25" @default.
• W1488004103 title "A Strategy for Evolutionary Spanning Tree Construction within Constrained Graphs with Application to Electrical Networks" @default.
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• W1488004103 doi "https://doi.org/10.1007/978-3-642-02267-8_49" @default.
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