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Record Nr. |
UNINA9910337649003321 |
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Autore |
Liu Jing |
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Titolo |
Evolutionary Computation and Complex Networks / / by Jing Liu, Hussein A. Abbass, Kay Chen Tan |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (160 pages) |
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Disciplina |
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Soggetti |
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Electrical engineering |
Algorithms |
Computers |
Communications Engineering, Networks |
Algorithm Analysis and Problem Complexity |
Computation by Abstract Devices |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Part 1: Background -- Evolutionary Computation -- Complex Networks -- Part 2: Using Complex Networks to Analyze Evolutionary Algorithms -- Evolutionary Dynamics on Complex Networks -- Problem Difficulty Prediction based on Complex Networks -- Network-based Problem Difficulty Prediction Measures -- Part 3: Using Evolutionary Algorithms to Solve Problems in Complex Networks -- Evolutionary Community Detection Algorithms -- Evolving Robust Networks using Evolutionary Algorithms -- Other Optimization Problems in Complex Networks. |
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Sommario/riassunto |
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This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using |
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