There's still time! Find the perfect Father's Day gift with store pickup | Shop NowThere's still time! Find the perfect Father's Day gift with store pickup | Shop Now
Add Item to wish listAdd Item to wish list

Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems

By Sulabh Bansal (Editor), Aprna Tripathi (Editor), Shilpa Srivastava (Editor), Prem Prakash Vuppuluri (Editor)
eBook
$235.00
By Sulabh Bansal (Editor), Aprna Tripathi (Editor), Shilpa Srivastava (Editor), Prem Prakash Vuppuluri (Editor)
Membership Card Icon
Collect stamps to save with Rewards. 10 stamps = $5. Learn More
Formats
See All Formats & Editions
Select a store to view item availability.

Available on compatible , the free NOOK App, and in My Digital Library

NOOK App

Download NOOK app

NOOK Devices

NOOK eReaders

  • NOOK GlowLight 4 Plus
  • NOOK GlowLight 4e
  • NOOK GlowLight 4
  • NOOK GlowLight Plus 7.8"
  • NOOK GlowLight 3
  • NOOK GlowLight Plus 6"

NOOK Tablets

  • NOOK 9" Lenovo Tablet
  • NOOK 10" HD Lenovo Tablet
  • NOOK Tablet 7" & 10.1"
  • NOOK by Samsung Galaxy Tab 7.0 [Tab A and Tab 4]
  • NOOK by Samsung [Tab 4 10.1, S2 & E]

Free NOOK Reading Apps

  • NOOK for iOS
  • NOOK for Android

BN.com website

Go to your Digital Library in My Account

Limit 1 per customer

This comprehensive text provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It further demonstrates how nature inspired metaheuristic algorithms have the potential to contribute to multiple United Nations sustainable development goals such as climate action, clean energy, and sustainable cities.

This book:

  • Discusses load balancing and demand response using nature-inspired optimization techni...

Categories

Science & TechnologyComputersEngineeringElectrical & Electronic EngineeringComputers - General & MiscellaneousEngineering - General & MiscellaneousComputer Architecture/EngineeringEngineering - Mathematics & Design