Evolutionary Computation and Complex Networks - Hardcover

Liu, Jing; Abbass, Hussein A.; Tan, Kay Chen

Hardcover

ISBN 10: 3319599984 ISBN 13: 9783319599984

Verlag: Springer, 2018

Inhaltsangabe

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 evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms. The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks.

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Über die Autorin bzw. den Autor

Sara Hylwa, MD Dr. Sara Hylwa is a Board-Certified Dermatologist and Assistant Professor at the University of Minnesota and faculty at Hennepin Healthcare in Minneapolis. She is also the associate program director for the dermatology residency at Health Partners/Park Nicollet. She has extensive training in all aspects of dermatology, with a special area of interest in contact dermatitis and patch testing. Professional memberships include AAD (Board Certified), and University of Minnesota Medical School (Assistant Professor, American Contact Dermatitis Society, European Society of Contact Dermatitis, among others). She has authored many research articles and several book chapters in dermatology. Elisabeth Hurliman, MD PhD Dr. Elisabeth Hurliman is a board certified dermatologist and Fellow of the American College of Mohs Surgery who practices Mohs surgery at Ridgeview Medical Center and Procedural and Cosmetic dermatology at Lakes Dermatology in the twin cities area in Minnesota. She is an Affiliated Assistant Professor in Dermatology at University of Minnesota and part of the provider team at Hennepin Healthcare Systems. In addition to her clinical duties, she continues to remain active in research, participates in national committees and local charity organizations, and mentors junior dermatologists, residents and medical students. Elisabeth Hurliman, MD PhD Dr. Elisabeth Hurliman is a board certified dermatologist and Fellow of the American College of Mohs Surgery who practices Mohs surgery at Ridgeview Medical Center and Procedural and Cosmetic dermatology at Lakes Dermatology in the twin cities area in Minnesota. She is an Affiliated Assistant Professor in Dermatology at University of Minnesota and part of the provider team at Hennepin Healthcare Systems. In addition to her clinical duties, she continues to remain active in research, participates in national committees and local charity organizations, and mentors junior dermatologists, residents and medical students.

Von der hinteren Coverseite

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 evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms.The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks.

• Brings together the fields of evolutionary computation and complex networks, discussing them both qualitatively and quantitatively;
  
• Provides novel and efficient computational problem solving techniques that require little computer memory;
  
• Provides the pseudo-codes for the computational methods used in the book to enable readers to adopt the codes to their own problems.
  

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2018
• Sprache: Englisch
• ISBN 10: 3319599984
• ISBN 13: 9783319599984
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 167
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland