menu
{ "item_title" : "Evolutionary Computation for Dynamic Optimization Problems", "item_author" : [" Shengxiang Yang", "Xin Yao "], "item_description" : "This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where changes occur over time. Key issues for addressing dynamic optimization problems in evolutionary computation, including fundamentals, algorithm design, theoretical analysis, and real-world applications, are presented. Evolutionary Computation for Dynamic Optimization Problems is a valuable reference to scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, nature- and bio-inspired computing, and evolutionary computation.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/64/244/843/3642448437_b.jpg", "price_data" : { "retail_price" : "219.99", "online_price" : "219.99", "our_price" : "219.99", "club_price" : "219.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Evolutionary Computation for Dynamic Optimization Problems|Shengxiang Yang

Evolutionary Computation for Dynamic Optimization Problems

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where changes occur over time.

Key issues for addressing dynamic optimization problems in evolutionary computation, including fundamentals, algorithm design, theoretical analysis, and real-world applications, are presented. "Evolutionary Computation for Dynamic Optimization Problems" is a valuable reference to scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, nature- and bio-inspired computing, and evolutionary computation.

This item is Non-Returnable

Details

  • ISBN-13: 9783642448430
  • ISBN-10: 3642448437
  • Publisher: Springer
  • Publish Date: June 2015
  • Dimensions: 9.21 x 6.14 x 1.01 inches
  • Shipping Weight: 1.53 pounds
  • Page Count: 470

Related Categories

You May Also Like...

    1

BAM Customer Reviews