Self-organizing migrating algorithm [electronic resource] : methodology and implementation / Donald Davendra, Ivan Zelinka, editors.

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Self-organizing migrating algorithm [electronic resource] : methodology and implementation / Donald Davendra, Ivan Zelinka, editors.

9783319281612 (electronic book)
3319281615 (electronic book)
9783319281599

Cham : Springer, 2016.

English

1 online resource (xviii, 289 pages) : illustrations.

10.1007/978-3-319-28161-2 doi

QA76.618

006.3/823

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. .

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Online resource; title from PDF title page (SpringerLink, viewed February 8, 2016).

Studies in computational intelligence ; v. 626.

Print version: 9783319281599

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