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{ "item_title" : "Genetic Programming Theory and Practice X", "item_author" : [" Rick Riolo", "Ekaterina Vladislavleva", "Marylyn D. Ritchie "], "item_description" : "Evolving SQL Queries from Examples with Developmental Genetic Programming.- A Practical Platform for On-Line Genetic Programming for Robotics.- Cartesian Genetic Programming for Image Processing.- A new mutation paradigm for Genetic Programming.- Introducing an Age-Varying Fitness Estimation Function.- EC-Star: A Massive-Scale, Hub and Spoke, Distributed Genetic Programming System.- Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-Processing.- Meta-dimensional analysis of phenotypes using the Analysis Tool for Heritable and Environmental Network Associations.- A Baseline Symbolic Regression Algorithm.- Symbolic Regression Model Comparison Approach Using Transmitted Variation.- A Framework for the Empirical Analysis of Genetic Programming System Performance.- More or Less? Two Approaches to Evolving Game-Playing Strategies.- Symbolic Regression is Not Enough.- FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud.- Representing Communication and Learning in Femtocell Pilot Power Control Algorithms.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/49/390/068/1493900684_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Genetic Programming Theory and Practice X|Rick Riolo

Genetic Programming Theory and Practice X

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Overview

Evolving SQL Queries from Examples with Developmental Genetic Programming.- A Practical Platform for On-Line Genetic Programming for Robotics.- Cartesian Genetic Programming for Image Processing.- A new mutation paradigm for Genetic Programming.- Introducing an Age-Varying Fitness Estimation Function.- EC-Star: A Massive-Scale, Hub and Spoke, Distributed Genetic Programming System.- Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-Processing.- Meta-dimensional analysis of phenotypes using the Analysis Tool for Heritable and Environmental Network Associations.- A Baseline Symbolic Regression Algorithm.- Symbolic Regression Model Comparison Approach Using Transmitted Variation.- A Framework for the Empirical Analysis of Genetic Programming System Performance.- More or Less? Two Approaches to Evolving Game-Playing Strategies.- Symbolic Regression is Not Enough.- FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud.- Representing Communication and Learning in Femtocell Pilot Power Control Algorithms.

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Details

  • ISBN-13: 9781493900688
  • ISBN-10: 1493900684
  • Publisher: Springer
  • Publish Date: June 2015
  • Dimensions: 9.21 x 6.14 x 0.57 inches
  • Shipping Weight: 0.84 pounds
  • Page Count: 242

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