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{ "item_title" : "Advancements in Applied Metaheuristic Computing", "item_author" : [" Nilanjan Dey "], "item_description" : "Metaheuristic algorithms are present in various applications for different domains. Recently, researchers have conducted studies on the effectiveness of these algorithms in providing optimal solutions to complicated problems. Advancements in Applied Metaheuristic Computing is a crucial reference source for the latest empirical research on methods and approaches that include metaheuristics for further system improvements, and it offers outcomes of employing optimization algorithms. Featuring coverage on a broad range of topics such as manufacturing, genetic programming, and medical imaging, this publication is ideal for researchers, academicians, advanced-level students, and technology developers seeking current research on the use of optimization algorithms in several applications.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/52/254/151/1522541519_b.jpg", "price_data" : { "retail_price" : "225.00", "online_price" : "225.00", "our_price" : "225.00", "club_price" : "225.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advancements in Applied Metaheuristic Computing|Nilanjan Dey

Advancements in Applied Metaheuristic Computing

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Overview

Metaheuristic algorithms are present in various applications for different domains. Recently, researchers have conducted studies on the effectiveness of these algorithms in providing optimal solutions to complicated problems. Advancements in Applied Metaheuristic Computing is a crucial reference source for the latest empirical research on methods and approaches that include metaheuristics for further system improvements, and it offers outcomes of employing optimization algorithms. Featuring coverage on a broad range of topics such as manufacturing, genetic programming, and medical imaging, this publication is ideal for researchers, academicians, advanced-level students, and technology developers seeking current research on the use of optimization algorithms in several applications.

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Details

  • ISBN-13: 9781522541516
  • ISBN-10: 1522541519
  • Publisher: Igi Global Scientific Publishing
  • Publish Date: November 2017
  • Dimensions: 10 x 7 x 0.81 inches
  • Shipping Weight: 1.86 pounds
  • Page Count: 345

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