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Evolutionary computation in combinatorial optimization21st European Conference, EvoCOP 2021, held as part of EvoStar 2021, Virtual Event, April 7-9, 2021 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evolutionary computation in combinatorial optimizationedited by Christine Zarges, Sebastien Verel.
Reminder of title:	21st European Conference, EvoCOP 2021, held as part of EvoStar 2021, Virtual Event, April 7-9, 2021 : proceedings /
remainder title:	EvoCOP 2021
other author:	Zarges, Christine.
corporate name:
Published:	Cham :Springer International Publishing :2021.
Description:	xiv, 237 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Evolutionary computationCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-72904-2
ISBN:	9783030729042$q(electronic bk.)

Evolutionary computation in combinatorial optimization21st European Conference, EvoCOP 2021, held as part of EvoStar 2021, Virtual Event, April 7-9, 2021 : proceedings /
Evolutionary computation in combinatorial optimization21st European Conference, EvoCOP 2021, held as part of EvoStar 2021, Virtual Event, April 7-9, 2021 : proceedings /[electronic resource] :EvoCOP 2021edited by Christine Zarges, Sebastien Verel. - Cham :Springer International Publishing :2021. - xiv, 237 p. :ill., digital ;24 cm. - Lecture notes in computer science,126920302-9743 ;. - Lecture notes in computer science ;4891..

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.

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.

ISBN: 9783030729042$q(electronic bk.)

Standard No.: 10.1007/978-3-030-72904-2doiSubjects--Topical Terms:

438415
Evolutionary computation
--Congresses.

LC Class. No.: QA76.618 / .E86 2021

Dewey Class. No.: 006.3823

Evolutionary computation in combinatorial optimization21st European Conference, EvoCOP 2021, held as part of EvoStar 2021, Virtual Event, April 7-9, 2021 : proceedings /
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520 $a 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.
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