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E-raamat: Metaheuristics and Nature Inspired Computing: 9th International Conference, META 2023, Marrakech, Morocco, November 1-4, 2023, Revised Selected Papers

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This book constitutes the refereed proceedings of the 9th International Conference on Metaheuristics and Nature Inspired Computing, META 2023, held in Marrakech, Morocco, during November 1-4, 2023. 





The 19 full papers presented in this volume were carefully reviewed and selected from 42 submissions. The papers are divided into the following topical sections: combinatorial optimization; scheduling; continuous optimization; automatic metaheuristics tuning; optimization and machine learning; and applications.
Combinatorial Optimization: Mixed Integer Linear Programming Based Large
Neighborhood Search Approaches for the Directed Feedback Vertex Set
Problem.- Uniformly Deployed Sets in Computer Science and Optimisation.- A
Simulated Annealing Based Approach for the Roman Domination Problem.-
Metaheuristic Algorithms for Circle Packing Problem: A Comprehensive
Review.- Ergodic Annealing: intelligent optimization under
uncertainty.- Scheduling: High Performance Algorithms for the Unrelated
Parallel Machines Scheduling Problem with a Common Server and Job-Sequence
Dependent Setup Times.- A Honey Bee Mating Optimization HyperHeuristic for
Patient Admission Scheduling Problem.- Network ow models for days o
scheduling.- Continuous Optimization: Opposition Based Local Escaping Marine
Predators Algorithm for Continuous Optimization; Impact of Structural Bias on
the Sine Cosine Algorithm: A Theoretical Investigation Using the Signature
Test; Success Rate Based Scaling Factor Adaptation in
Dual-Population Dierential Evolution.- Automatic Metahuristics Tuning: A
Study About Meta-Optimizing the NSGA-II Multi-Objective Evolutionary
Algorithm.- Articial Intelligence for Metaheuristic Parameter
Setting.- Hyperheuristic as Tuning Tool of Generalized Swap
Strategy.- Optimization & Machine Learning: An optimised version of
dierential evolution heuristic for feature selection.- Machine
Learning-based Per-Instance Algorithm Selection for High-Performance Subgraph
Isomorphism Enumeration.- Applications: Memetic Algorithms for the Technician
Routing and Scheduling Problem: Real Case Study of Energy Distribution System
Operator (DSO).- Cluster images with AntClust: a clustering algorithm based
on the chemical recognition system of ants.- EVADyR: a new dynamic resampling
algorithm for optimizing noisy expensive systems.
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