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Evolutionary Computation in Combinatorial Optimization : 20th European Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings / edited by Luís Paquete, Christine Zarges.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Paquete, Luís., Editor.
Zarges, Christine, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12102
Theoretical Computer Science and General Issues, 2512-2029 ; 12102
Language:
English
Subjects (All):
Computer science-Mathematics.
Computer networks.
Application software.
Computer science.
Discrete mathematics.
Mathematics of Computing.
Computer Communication Networks.
Computer and Information Systems Applications.
Theory of Computation.
Discrete Mathematics in Computer Science.
Local Subjects:
Mathematics of Computing.
Computer Communication Networks.
Computer and Information Systems Applications.
Theory of Computation.
Discrete Mathematics in Computer Science.
Physical Description:
1 online resource (XIV, 231 pages) : 82 illustrations, 46 illustrations in color.
Edition:
1st ed. 2020.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2020.
System Details:
text file PDF
Summary:
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.
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-3-030-43680-3
9783030436803
Access Restriction:
Restricted for use by site license.

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