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{ "item_title" : "Swarm Intelligence Based Optimization", "item_author" : [" Patrick Siarry", "Lhassane Idoumghar", "Julien Lepagnot "], "item_description" : "This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: theoretical advances of swarm intelligence metaheuristics; combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm; hybridization of algorithms; parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications of swarm intelligence principles to real world problems in various domains.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/950/306/3319503065_b.jpg", "price_data" : { "retail_price" : "44.99", "online_price" : "44.99", "our_price" : "44.99", "club_price" : "44.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Swarm Intelligence Based Optimization|Patrick Siarry

Swarm Intelligence Based Optimization : Second International Conference, Icsibo 2016, Mulhouse, France, June 13-14, 2016, Revised Selected Papers

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Overview

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: theoretical advances of swarm intelligence metaheuristics; combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm; hybridization of algorithms; parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications of swarm intelligence principles to real world problems in various domains.

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Details

  • ISBN-13: 9783319503066
  • ISBN-10: 3319503065
  • Publisher: Springer
  • Publish Date: November 2016
  • Dimensions: 9.21 x 6.14 x 0.29 inches
  • Shipping Weight: 0.44 pounds
  • Page Count: 125

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