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{ "item_title" : "Principal Concepts in Applied Evolutionary Computation", "item_author" : [" Wei-Chiang Samuelson Hong "], "item_description" : "Increasingly powerful and diverse computing technologies have the potential to tackle ever greater and more complex problems and dilemmas in engineering and science disciplines. Principal Concepts in Applied Evolutionary Computation: Emerging Trends provides an introduction to the important interdisciplinary discipline of evolutionary computation, an artificial intelligence field that combines the principles of computational intelligence with the mechanisms of the theory of evolution. Academics and practicing field professionals will find this reference useful as they break into the emerging and complex world of evolutionary computation, learning to harness and utilize this exciting new interdisciplinary field.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/46/661/749/1466617497_b.jpg", "price_data" : { "retail_price" : "195.00", "online_price" : "195.00", "our_price" : "195.00", "club_price" : "195.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Principal Concepts in Applied Evolutionary Computation|Wei-Chiang Samuelson Hong

Principal Concepts in Applied Evolutionary Computation : Emerging Trends

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Overview

Increasingly powerful and diverse computing technologies have the potential to tackle ever greater and more complex problems and dilemmas in engineering and science disciplines. Principal Concepts in Applied Evolutionary Computation: Emerging Trends provides an introduction to the important interdisciplinary discipline of evolutionary computation, an artificial intelligence field that combines the principles of computational intelligence with the mechanisms of the theory of evolution. Academics and practicing field professionals will find this reference useful as they break into the emerging and complex world of evolutionary computation, learning to harness and utilize this exciting new interdisciplinary field.

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Details

  • ISBN-13: 9781466617490
  • ISBN-10: 1466617497
  • Publisher: Information Science Reference
  • Publish Date: June 2012
  • Dimensions: 11.2 x 8.7 x 1.3 inches
  • Shipping Weight: 2.6 pounds
  • Page Count: 402

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