Evolutionary Computation in Combinatorial Optimization

20th European Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15¿17, 2020, Proceedings
Herausgegeben:Paquete, Luís; Zarges, Christine

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 20th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2020, held as part of Evo_2020, in Seville, Spain, in April 2020, co-located with the Evo_2020 events EuroGP, EvoMUSART and EvoApplications.
The 14 full papers presented in this book were carefully reviewed and selected from 37 submissions. The papers cover a wide spectrum of topics, ranging from the foundations of evolutionary computation algorithms and other search heuristics, to their accurate design and application to combinatorial optimization problems.

Produktdetails

• Theoretical Computer Science and General Issues 12102
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-43679-7
• 1st ed. 2020
• Seitenzahl: 248
• Erscheinungstermin: 10. März 2020
• Englisch
• Abmessung: 235mm x 155mm x 14mm
• Gewicht: 382g
• ISBN-13: 9783030436797
• ISBN-10: 3030436799
• Artikelnr.: 58673071

Inhaltsangabe

Optimizing Prices and Periods in Time-of-use Electricity Tariff Design Using Bilevel Programming.- An Algebraic Approach for the Search Space of Permutations with Repetition.- A Comparison of Genetic Representations for Multi-Objective Shortest Path Problems on Multigraphs.- The Univariate Marginal Distribution Algorithm Copes well with Deception and Epistasis.- A Beam Search Approach to the Traveling Tournament Problem.- Cooperative Parallel SAT Local Search with Path Relinking.- Dynamic Compartmental Models for Large Multi-Objective Landscapes and Performance Estimation.- Fitness Landscape Analysis of Automated Machine Learning Search Spaces.- On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D.- A Grouping Genetic Algorithm for Multi Depot Pickup and Delivery Problems with Time Windows and Heterogeneous Vehicle Fleets.- MILPIBEA: Algorithm for Multi-Objective Features Selection in (Evolving) Software Product Lines.- A Group Genetic Algorithm for Resource Allocation in Container-Based Clouds.- The Local Optima Level in Chemotherapy Schedule Optimisation.- Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling.