Self-Organizing Migrating Algorithm: Methodology and Implementation -
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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 applicati ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Izdevējs | Springer Nature Switzerland |
|---|---|
| Series | Studies in Computational Intelligence |
| Izlaides gads | 2016 |
| Vāka tips | Cietais vāks |
| EAN | 9783319281599 |