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Evolutionary Computation in Combinatorial Optimization: 24th European Conference, EvoCOP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 35, 2024, Proceedings 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 194 pages, kõrgus x laius: 235x155 mm, 41 Illustrations, black and white; XI, 194 p. 41 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 14632
  • Ilmumisaeg: 04-May-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031577116
  • ISBN-13: 9783031577116
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  • Formaat: Paperback / softback, 194 pages, kõrgus x laius: 235x155 mm, 41 Illustrations, black and white; XI, 194 p. 41 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 14632
  • Ilmumisaeg: 04-May-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031577116
  • ISBN-13: 9783031577116
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 35, 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. 
A Neural Network Based Guidance for a BRKGA: An Application to the
Longest Common Square Subsequence Problem.- Sparse Surrogate Model for
Optimization: Example of the Bus Stops Spacing Problem.- Emergence of new
local search algorithms with neuro-evolution.- Q-learning Based Framework for
Solving the Stochastic E-waste Collection Problem.- A memetic algorithm with
adaptive operator selection for graph coloring.- Studies on Multi-objective
Role Mining in ERP Systems.- Greedy heuristic guided by lexicographic
excellence.- Reduction-Based MAX-3SAT with Low Nonlinearity and Lattices
Under Recombination.- Where the Really Hard Quadratic Assignment Problems
Are: the QAP-SAT instances.- Hardest Monotone Functions for Evolutionary
Algorithms.- A Theoretical Investigation Of Termination Criteria For
Evolutionary Algorithms.- Experimental and Theoretical Analysis of Local
Search Optimising OBDD Variable Orderings.