Evolutionary computation in combinatorial optimization : 21st European Conference, EvoCOP 2021, held as part of EvoStar 2021, virtual event, April 7-9, 2021, proceedings / Christine Zarges, Sébastien Verel (eds.).
EvoCOP (Conference) (21st : 2021 : Online); Zarges, Christine, editor.; Verel, Sébastien, editor.; EVOSTAR (Conference) (2021 : Online)
2021
QA76.618
Available Online

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Title Evolutionary computation in combinatorial optimization : 21st European Conference, EvoCOP 2021, held as part of EvoStar 2021, virtual event, April 7-9, 2021, proceedings / Christine Zarges, Sébastien Verel (eds.).
Meeting Name EvoCOP (Conference) (21st : 2021 : Online)
ISBN 9783030729042 (electronic bk.)
3030729044 (electronic bk.)
9783030729059 (print)
3030729052
3030729036
9783030729035
DOI https://doi.org/10.1007/978-3-030-72904-2
Published Cham, Switzerland : Springer, [2021]
Language English
Description 1 online resource (xiv, 237 pages) : illustrations (some color)
Item Number 10.1007/978-3-030-72904-2 doi
Call Number QA76.618
Dewey Decimal Classification 006.3/823
004.0151
Summary This book constitutes the refereed proceedings of the 21st European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events: EvoMUSART, EvoApplications, and EuroGP. The 14 revised full papers presented in this book were carefully reviewed and selected from 42 submissions. They cover a wide spectrum of topics, ranging from the foundations of evolutionary algorithms and other search heuristics to their accurate design and application to combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of core components of metaheuristics, the clever design of their search principles, and their careful selection and configuration. Applications cover problem domains such as scheduling, routing, search-based software engineering and general graph problems. The range of topics covered in this volume reflects the current state of research in the fields of evolutionary computation and combinatorial optimization.
Bibliography, etc. Note Includes bibliographical references and author index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 14, 2021).
Added Author Zarges, Christine, editor.
Verel, Sébastien, editor.
Added Meeting Name EVOSTAR (Conference) (2021 : Online)
Series Lecture notes in computer science ; 12692.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
Available in Other Form Print version: 9783030729035
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A Novel Ant Colony Optimization Strategy for the Quantum Circuit Compilation Problem
Hybridization of Racing Methods with Evolutionary Operators for Simulation Optimization of Traffic Lights Programs
Decomposition-based Multi-objective Landscape Features and Automated Algorithm Selection
MATE: A Model-Based Algorithm Tuning Engine
An Improvement Heuristic Based on Variable Neighborhood Search for a Dynamic Orienteering Problem
Runtime Analysis of the (mu+1)-EA on the Dynamic BinVal Function
Tabu-Driven Quantum Neighborhood Samplers
On Hybrid Heuristics for Steiner Trees on the Plane with Obstacles
Flowshop NEH-Based Heuristic Recommendation
Stagnation Detection with Randomized Local Search
An Artificial Immune System for Black Box Test Case Selection
Symmetry Breaking for Voting Mechanisms
A Heuristic Algorithm for School Bus Routing with Bus Stop Selection
Hybrid Heuristic and Metaheuristic for Solving Electric Vehicle Charging Scheduling Problem.

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