20th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2020, held as part of Evostar 2020: 20th European Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings

Luís Paquete (Editor), Christine Zarges (Editor)

Research output: Book/ReportEdited book

Abstract

The proceedings contain 14 papers. The special focus in this conference is on Evolutionary Computation in Combinatorial Optimization. The topics include: 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; 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.

Original languageEnglish
PublisherSpringer Nature
Number of pages248
ISBN (Electronic)9783030436803
ISBN (Print)9783030436797
DOIs
Publication statusPublished - 19 May 2020
EventEuropean Conference on Evolutionary Computation in Combinatorial Optimization: Part of EvoStar - Seville, Spain
Duration: 15 Apr 202017 Apr 2020
Conference number: 20
http://evostar.org/2020/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12102 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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