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Bioinspired Heuristics for Optimization / / edited by El-Ghazali Talbi, Amir Nakib
Bioinspired Heuristics for Optimization / / edited by El-Ghazali Talbi, Amir Nakib
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (VIII, 314 p. 97 illus., 52 illus. in color.)
Disciplina 006.38
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-319-95104-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Possibilistic Framework for Multi-objective Optimization under Uncertainty -- Solving the Uncapacitated Single Allocation p-Hub Median Problem on GPU. Phase Equilibrium Description of a Supercritical Extraction System using Metaheuristic Optimization Algorithms -- Intrusion Detection System based on a behavioral approach -- A new hybrid method to solve the multi-objective optimization problem for a composite hat-stiffened panel -- Storage yard management: modelling and solving -- Multi-capacitated location problem : A new resolution method combining exact and heuristic approaches based on set partitioning -- Application of genetic algorithm for solving bilevel linear programming problems -- Adapted Bin-Packing algorithm for the yard optimization problem -- Hidden Markov Model classifier for the adaptive ACS-TSP pheromone parameters.
Record Nr. UNINA-9910483117003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Metaheuristics for dynamic optimization / / Enrique Alba, Amir Nakib, and Patrick Siarry (eds.)
Metaheuristics for dynamic optimization / / Enrique Alba, Amir Nakib, and Patrick Siarry (eds.)
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin ; ; New York, : Springer, c2013
Descrizione fisica 1 online resource (XXXII, 400 p.)
Disciplina 519.6/4
Altri autori (Persone) AlbaEnrique
NakibAmir
SiarryPatrick
Collana Studies in computational intelligence
Soggetto topico Combinatorial optimization
Computer algorithms
Computational intelligence
ISBN 3-642-30665-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto From the Contents: Performance Analysis of Dynamic Optimization Algorithms -- Quantitative Performance Measures for Dynamic Optimization Problems -- Dynamic Function Optimization: The Moving Peaks Benchmark -- SRCS: a technique for comparing multiple algorithms under several factors in Dynamic Optimization Problems -- Dynamic Combinatorial Optimization Problems: A Fitness Landscape Analysis -- Two Approaches for Single and Multi-Objective Dynamic Optimization -- Self-Adaptive Differential Evolution for Dynamic Environments with Fluctuating Numbers of Optima -- Dynamic multi-objective optimization using PSO.
Record Nr. UNINA-9910437901503321
Berlin ; ; New York, : Springer, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Metaheuristics for Medicine and Biology / / edited by Amir Nakib, El-Ghazali Talbi
Metaheuristics for Medicine and Biology / / edited by Amir Nakib, El-Ghazali Talbi
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVIII, 211 p. 120 illus., 67 illus. in color.)
Disciplina 005.1
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Biomedical engineering
Artificial intelligence
Computational Intelligence
Biomedical Engineering and Bioengineering
Artificial Intelligence
ISBN 3-662-54428-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910254340303321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui