Metaheuristics and Nature Inspired Computing
Editat de Bernabé Dorronsoro, Rachid Ellaia, El-Ghazali Talbien Limba Engleză Paperback – 15 sep 2024
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.
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Specificații
ISBN-13: 9783031692567
ISBN-10: 303169256X
Pagini: 296
Ilustrații: XII, 253 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:2024
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 303169256X
Pagini: 296
Ilustrații: XII, 253 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:2024
Editura: Springer
Locul publicării:Cham, Switzerland
Cuprins
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.