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{ "item_title" : "Evolutionary Computation in Combinatorial Optimization", "item_author" : [" Thomas Stützle", "Markus Wagner "], "item_description" : "This book constitutes the referred proceedings of the 24th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2024, held as part of EvoStar 2024, in Aberystwyth, UK, during April 3-5, 2024. The 12 full papers presented in this book were carefully reviewed and selected from 28 submissions. They cover a variety of topics, ranging from constructive algorithms, machine learning techniques ranging from neural network based guidance to sparse surrogate models for optimization problems, the foundation of evolutionary computation algorithms and other search heuristics, to multi-objective optimization problems. ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/157/711/3031577116_b.jpg", "price_data" : { "retail_price" : "59.99", "online_price" : "59.99", "our_price" : "59.99", "club_price" : "59.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Evolutionary Computation in Combinatorial Optimization|Thomas Stützle

Evolutionary Computation in Combinatorial Optimization : 24th European Conference, Evocop 2024, Held as Part of Evostar 2024, Aberystwyth, Uk, April 3-

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Overview

This book constitutes the referred proceedings of the 24th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2024, held as part of EvoStar 2024, in Aberystwyth, UK, during April 3-5, 2024.

The 12 full papers presented in this book were carefully reviewed and selected from 28 submissions. They cover a variety of topics, ranging from constructive algorithms, machine learning techniques ranging from neural network based guidance to sparse surrogate models for optimization problems, the foundation of evolutionary computation algorithms and other search heuristics, to multi-objective optimization problems.

This item is Non-Returnable

Details

  • ISBN-13: 9783031577116
  • ISBN-10: 3031577116
  • Publisher: Springer
  • Publish Date: May 2024
  • Dimensions: 9.21 x 6.14 x 0.44 inches
  • Shipping Weight: 0.66 pounds
  • Page Count: 194

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