Self-Organizing Migrating Algorithm : Methodology and Implementation
Self-Organizing Migrating Algorithm : Methodology and Implementation
edited by Donald Davendra, Ivan Zelinka
- 1st ed.
- Cham Springer International Publishing 2016
- 1 recurso en línea (XVIII, 289 páginas) 128 ilustraciones, 41 ilustraciones en color
- Studies in Computational Intelligence 626 1860-949X .
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. .
9783319281612
Inteligencia artificial
Optimización matemática
Q342 / .S454 2016
006.3
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. .
9783319281612
Inteligencia artificial
Optimización matemática
Q342 / .S454 2016
006.3