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Self-Organizing Migrating Algorithm: Methodology and Implementation -

Anglų
2016-02-12
127,04 € 169,38 €

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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 ... Visas aprašymas

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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.

Daugiau informacijos

Leidėjas Springer Nature Switzerland
Series Studies in Computational Intelligence
Išleidimo metai 2016
Viršelio tipas Kieti viršeliai
EAN 9783319281599
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127,04 € 169,38 €