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

Aus der Reihe Communications in Computer and Information Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.09.2024

Abbildungen

XIII, 280 p. 74 illus., 63 illus. in color.

Herausgeber

Bernabé Dorronsoro + weitere

Verlag

Springer

Seitenzahl

280

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

452 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-69256-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.09.2024

Abbildungen

XIII, 280 p. 74 illus., 63 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

280

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

452 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-69256-7

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Metaheuristics and Nature Inspired Computing

  • 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 flow models for days off 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 Differential Evolution.- 
    Automatic Metahuristics Tuning: 
    A Study About Meta-Optimizing the NSGA-II Multi-Objective Evolutionary Algorithm.- Artificial Intelligence for Metaheuristic Parameter Setting.- Hyperheuristic as Tuning Tool of Generalized Swap Strategy.- 
    Optimization & Machine Learning: 
    An optimised version of differential 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.