bokomslag Self-Organizing Migrating Algorithm
Data & IT

Self-Organizing Migrating Algorithm

Donald Davendra Ivan Zelinka

Inbunden

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  • 289 sidor
  • 2016
This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA.
  • Författare: Donald Davendra, Ivan Zelinka
  • Illustratör: Bibliographie
  • Format: Inbunden
  • ISBN: 9783319281599
  • Språk: Engelska
  • Antal sidor: 289
  • Utgivningsdatum: 2016-02-12
  • Förlag: Springer International Publishing AG