Cargando…
Self-organizing migrating algorithm: methodology and implementation
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 gradu...
Autores principales: | , |
---|---|
Lenguaje: | eng |
Publicado: |
Springer
2016
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-28161-2 http://cds.cern.ch/record/2137881 |
Sumario: | 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. . |
---|