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{ "item_title" : "Applications of Evolutionary Computation", "item_author" : [" Antonio M. Mora", "Giovanni Squillero "], "item_description" : "Evolutionary computation, machine learning and data mining in computational biology.- Nature-inspired techniques for telecommunication networks and other parallel and distributed systems.- Evolutionary algorithms and complex systems.- Evolutionary computation in energy applications.- Evolutionary and natural computation in finance and economics.- Bio-inspired algorithms in games.- Evolutionary computation in image analysis, signal processing, and pattern recognition.- Nature-inspired techniques in industrial settings.- Bio-inspired algorithms for continuous parameter optimization.- Parallel implementation of evolutionary algorithms.- Computational intelligence for risk management, security and defence applications.- Evolutionary computation in robotics.- Evolutionary algorithms in stochastic and dynamic environments.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/916/548/3319165488_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" : "" } }
Applications of Evolutionary Computation|Antonio M. Mora

Applications of Evolutionary Computation : 18th European Conference, Evoapplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings

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Overview

Evolutionary computation, machine learning and data mining in computational biology.- Nature-inspired techniques for telecommunication networks and other parallel and distributed systems.- Evolutionary algorithms and complex systems.- Evolutionary computation in energy applications.- Evolutionary and natural computation in finance and economics.- Bio-inspired algorithms in games.- Evolutionary computation in image analysis, signal processing, and pattern recognition.- Nature-inspired techniques in industrial settings.- Bio-inspired algorithms for continuous parameter optimization.- Parallel implementation of evolutionary algorithms.- Computational intelligence for risk management, security and defence applications.- Evolutionary computation in robotics.- Evolutionary algorithms in stochastic and dynamic environments.

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Details

  • ISBN-13: 9783319165486
  • ISBN-10: 3319165488
  • Publisher: Springer
  • Publish Date: March 2015
  • Dimensions: 9.21 x 6.14 x 1.86 inches
  • Shipping Weight: 2.85 pounds
  • Page Count: 913

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