menu
{ "item_title" : "Nature-Inspired Computing and Optimization", "item_author" : [" Srikanta Patnaik", "Xin-She Yang", "Kazumi Nakamatsu "], "item_description" : "From the content: The Nature of Nature: Why Nature Inspired Algorithms Work.- Improved Bat Algorithm in Noise-Free and Noisy Environments.- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks.le", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/950/919/3319509195_b.jpg", "price_data" : { "retail_price" : "179.99", "online_price" : "179.99", "our_price" : "179.99", "club_price" : "179.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Nature-Inspired Computing and Optimization|Srikanta Patnaik

Nature-Inspired Computing and Optimization : Theory and Applications

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

Overview

From the content: The Nature of Nature: Why Nature Inspired Algorithms Work.- Improved Bat Algorithm in Noise-Free and Noisy Environments.- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks.le

This item is Non-Returnable

Details

  • ISBN-13: 9783319509198
  • ISBN-10: 3319509195
  • Publisher: Springer
  • Publish Date: March 2017
  • Dimensions: 9.21 x 6.14 x 1.13 inches
  • Shipping Weight: 1.98 pounds
  • Page Count: 494

Related Categories

You May Also Like...

    1

BAM Customer Reviews