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Evolutionary computation in combinatorial optimization25th European Conference, EvoCOP 2025, held as part of EvoStar 2025, Trieste, Italy, April 23-25, 2025 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evolutionary computation in combinatorial optimizationedited by Martin S. Krejca, Markus Wagner.
Reminder of title:	25th European Conference, EvoCOP 2025, held as part of EvoStar 2025, Trieste, Italy, April 23-25, 2025 : proceedings /
remainder title:	EvoCOP 2025
other author:	Krejca, Martin S.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xiv, 268 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Evolutionary computationCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-86849-8
ISBN:	9783031868498$q(electronic bk.)

Evolutionary computation in combinatorial optimization25th European Conference, EvoCOP 2025, held as part of EvoStar 2025, Trieste, Italy, April 23-25, 2025 : proceedings /
Evolutionary computation in combinatorial optimization25th European Conference, EvoCOP 2025, held as part of EvoStar 2025, Trieste, Italy, April 23-25, 2025 : proceedings /[electronic resource] :EvoCOP 2025edited by Martin S. Krejca, Markus Wagner. - Cham :Springer Nature Switzerland :2025. - xiv, 268 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,156101611-3349 ;. - Lecture notes in computer science ;4891..

A Runtime Analysis of the Multi-Valued Compact Genetic Algorithm on Generalized LeadingOnes. -- Evolutionary Anytime Algorithms. -- Studies on Survival Strategies to Protect Expert Knowledge in Evolutionary Algorithms for Interactive Role Mining. -- Diversification through Candidate Sampling for a Non-Iterated Lin-Kernighan-Helsgaun Algorithm. -- Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem. -- Meta-learning of Univariate Estimation-of-Distribution Algorithms for Pseudo-Boolean Problems. -- A Selective Vehicle Routing Problem for the Bloodmobile System. -- A Genetic Approach to the Operational Freight-on-Transit problem. -- LON/D - Sub-problem Landscape Analysis in Decomposition-based Multi-objective Optimization. -- Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning. -- Mixed-Binary Problems Optimized with Fast Discrete Solver. -- Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems. -- Adaptive neighborhood search based on landscape learning: a TSP study. -- Healthcare Facility Location Problem and Fitness Landscape Analysis. -- Generating (Semi-)Active Schedules for Dynamic Multi-mode Project Scheduling Using Genetic Programming Hyper-heuristics. -- Price-and-branch Heuristic for Vector Bin Packing.

ISBN: 9783031868498$q(electronic bk.)

Standard No.: 10.1007/978-3-031-86849-8doiSubjects--Topical Terms:

438415
Evolutionary computation
--Congresses.

LC Class. No.: QA76.618

Dewey Class. No.: 006.3823

Evolutionary computation in combinatorial optimization25th European Conference, EvoCOP 2025, held as part of EvoStar 2025, Trieste, Italy, April 23-25, 2025 : proceedings /
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505 0 $a A Runtime Analysis of the Multi-Valued Compact Genetic Algorithm on Generalized LeadingOnes. -- Evolutionary Anytime Algorithms. -- Studies on Survival Strategies to Protect Expert Knowledge in Evolutionary Algorithms for Interactive Role Mining. -- Diversification through Candidate Sampling for a Non-Iterated Lin-Kernighan-Helsgaun Algorithm. -- Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem. -- Meta-learning of Univariate Estimation-of-Distribution Algorithms for Pseudo-Boolean Problems. -- A Selective Vehicle Routing Problem for the Bloodmobile System. -- A Genetic Approach to the Operational Freight-on-Transit problem. -- LON/D - Sub-problem Landscape Analysis in Decomposition-based Multi-objective Optimization. -- Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning. -- Mixed-Binary Problems Optimized with Fast Discrete Solver. -- Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems. -- Adaptive neighborhood search based on landscape learning: a TSP study. -- Healthcare Facility Location Problem and Fitness Landscape Analysis. -- Generating (Semi-)Active Schedules for Dynamic Multi-mode Project Scheduling Using Genetic Programming Hyper-heuristics. -- Price-and-branch Heuristic for Vector Bin Packing.
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