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| Verfasst von: | Gonzalez, Patricia [VerfasserIn]  |
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| | Argüeso-Alejandro, Pablo [VerfasserIn] |
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| | Penas, David R. [VerfasserIn] |
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| | Pardo, Xoan C. [VerfasserIn] |
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| | Sáez Rodríguez, Julio [VerfasserIn] |
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| | Banga, Julio R. [VerfasserIn] |
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| | Doallo, Ramón [VerfasserIn] |
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| Titel: | Hybrid parallel multimethod hyperheuristic for mixed-integer dynamic optimization problems in computational systems biology |
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| Verf.angabe: | Patricia González, Pablo Argüeso-Alejandro, David R. Penas, Xoan C. Pardo, Julio Saez-Rodriguez, Julio R. Banga, Ramón Doallo |
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| E-Jahr: | 2019 |
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| Jahr: | 08 May 2019 |
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| Umfang: | 28 S. |
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| Fussnoten: | Gesehen am 20.08.2019 |
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| Titel Quelle: | Enthalten in: The journal of supercomputing |
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| Ort Quelle: | Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 |
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| Jahr Quelle: | 2019 |
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| Band/Heft Quelle: | 75(2019), 7, Seite 3471-3498 |
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| ISSN Quelle: | 1573-0484 |
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| Abstract: | This paper describes and assesses a parallel multimethod hyperheuristic for the solution of complex global optimization problems. In a multimethod hyperheuristic, different metaheuristics cooperate to outperform the results obtained by any of them isolated. The results obtained show that the cooperation of individual parallel searches modifies the systemic properties of the hyperheuristic, achieving significant performance improvements versus the sequential and the non-cooperative parallel solutions. Here we present and evaluate a hybrid parallel scheme of the multimethod, using both message-passing (MPI) and shared memory (OpenMP) models. The hybrid parallelization allows to achieve a better trade-off between performance and computational resources, through a compromise between diversity (number of islands) and intensity (number of threads per island). For the performance evaluation, we considered the general problem of reverse engineering nonlinear dynamic models in systems biology, which yields very large mixed-integer dynamic optimization problems. In particular, three very challenging problems from the domain of dynamic modeling of cell signaling were used as case studies. In addition, experiments have been carried out in a local cluster, a large supercomputer and a public cloud, to show the suitability of the proposed solution in different execution platforms. |
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| DOI: | doi:10.1007/s11227-019-02871-0 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: http://dx.doi.org/10.1007/s11227-019-02871-0 |
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| | Volltext: https://link.springer.com/article/10.1007/s11227-019-02871-0 |
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| | DOI: https://doi.org/10.1007/s11227-019-02871-0 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Computational systems biology |
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| | Global optimization |
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| | Mixed-integer optimization problems |
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| | Multimethod optimization |
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| | Parallel metaheuristics |
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| | Reverse engineering |
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| K10plus-PPN: | 1671637658 |
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| Verknüpfungen: | → Zeitschrift |
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Hybrid parallel multimethod hyperheuristic for mixed-integer dynamic optimization problems in computational systems biology / Gonzalez, Patricia [VerfasserIn]; 08 May 2019 (Online-Ressource)
