{
"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://covers4.booksamillion.com/covers/bam/3/31/984/522/3319845225_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 : Theory and Applications
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
Customers Also Bought
Details
- ISBN-13: 9783319845227
- ISBN-10: 3319845225
- Publisher: Springer
- Publish Date: May 2018
- Dimensions: 9.21 x 6.14 x 1.04 inches
- Shipping Weight: 1.58 pounds
- Page Count: 494
Related Categories
