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{ "item_title" : "Self-Organizing Migrating Algorithm", "item_author" : [" Donald Davendra", "Ivan Zelinka "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/31/928/159/3319281593_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Self-Organizing Migrating Algorithm|Donald Davendra

Self-Organizing Migrating Algorithm : Methodology and Implementation

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9783319281599
  • ISBN-10: 3319281593
  • Publisher: Springer
  • Publish Date: February 2016
  • Dimensions: 9.21 x 6.14 x 0.75 inches
  • Shipping Weight: 1.34 pounds
  • Page Count: 289

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