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{ "item_title" : "Advances in Swarm Intelligence", "item_author" : [" Ying Tan", "Yuhui Shi", "Carlos Coello Coello "], "item_description" : "Novel swarm-based search methods.- Novel optimization algorithm.- Particle swarm optimization.- Ant colony optimization for travelling salesman problem.- Artificial bee colony algorithms.- Artificial immune system.- Evolutionary algorithms.- Neural networks and fuzzy methods.- Hybrid methods.- Multi-objective optimization.- Multi-agent systems.- Evolutionary clustering algorithms.- Classification methods.- GPU-based methods.- Scheduling and path planning.- Wireless sensor networks.- Power system optimization.- Swarm intelligence in image and video processing.- Applications of swarm intelligence to management problems.- Swarm intelligence for real-world application.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/31/911/856/3319118560_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advances in Swarm Intelligence|Ying Tan

Advances in Swarm Intelligence : 5th International Conference, Icsi 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I

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Overview

Novel swarm-based search methods.- Novel optimization algorithm.- Particle swarm optimization.- Ant colony optimization for travelling salesman problem.- Artificial bee colony algorithms.- Artificial immune system.- Evolutionary algorithms.- Neural networks and fuzzy methods.- Hybrid methods.- Multi-objective optimization.- Multi-agent systems.- Evolutionary clustering algorithms.- Classification methods.- GPU-based methods.- Scheduling and path planning.- Wireless sensor networks.- Power system optimization.- Swarm intelligence in image and video processing.- Applications of swarm intelligence to management problems.- Swarm intelligence for real-world application.

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Details

  • ISBN-13: 9783319118567
  • ISBN-10: 3319118560
  • Publisher: Springer
  • Publish Date: September 2014
  • Dimensions: 9.21 x 6.14 x 1.08 inches
  • Shipping Weight: 1.64 pounds
  • Page Count: 510

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