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{ "item_title" : "Optimized Genetic Programming Applications", "item_author" : [" Bahrudin Hrnjica", "Ali Danandeh Mehr "], "item_description" : "Data is more valuable than ever in the twenty-first century, and tremendous amounts of data are being generated every second. With a fast-growing information industry, engineers are required to develop new tools and techniques that increase human capabilities of mining useful knowledge from the vast amounts of data. Optimized Genetic Programming Applications: Emerging Research and Opportunities is an essential reference source that explores the concept of genetic programming and its role in managing engineering problems. It also examines genetic programming as a supervised machine learning technique, focusing on implementation and application. As a resource that details both the theoretical aspects and implementation of genetic programming, this book is a useful source for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/52/256/005/152256005X_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" : "" } }
Optimized Genetic Programming Applications|Bahrudin Hrnjica

Optimized Genetic Programming Applications : Emerging Research and Opportunities

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Overview

Data is more valuable than ever in the twenty-first century, and tremendous amounts of data are being generated every second. With a fast-growing information industry, engineers are required to develop new tools and techniques that increase human capabilities of mining useful knowledge from the vast amounts of data. Optimized Genetic Programming Applications: Emerging Research and Opportunities is an essential reference source that explores the concept of genetic programming and its role in managing engineering problems. It also examines genetic programming as a supervised machine learning technique, focusing on implementation and application. As a resource that details both the theoretical aspects and implementation of genetic programming, this book is a useful source for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.

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Details

  • ISBN-13: 9781522560050
  • ISBN-10: 152256005X
  • Publisher: Medical Information Science Reference
  • Publish Date: July 2018
  • Dimensions: 10 x 7 x 0.75 inches
  • Shipping Weight: 1.73 pounds
  • Page Count: 246

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