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Evolutionary computation in combinatorial optimization = 21st European Conference, EvoCOP 2021, held as part of EvoStar 2021, Virtual Event, April 7-9, 2021 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Evolutionary computation in combinatorial optimization/ edited by Christine Zarges, Sebastien Verel.
其他題名:	21st European Conference, EvoCOP 2021, held as part of EvoStar 2021, Virtual Event, April 7-9, 2021 : proceedings /
其他題名:	EvoCOP 2021
其他作者:	Zarges, Christine.
團體作者:	EvoCOP (Conference)
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xiv, 237 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Evolutionary computation - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-72904-2
ISBN:	9783030729042

Evolutionary computation in combinatorial optimization = 21st 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 ;12692..

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

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

582175
Evolutionary computation
--Congresses.

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

Dewey Class. No.: 006.3823

Evolutionary computation in combinatorial optimization = 21st European Conference, EvoCOP 2021, held as part of EvoStar 2021, Virtual Event, April 7-9, 2021 : proceedings /
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