Parallel algorithm portfolios with performance forecasting

We propose a novel algorithm portfolio model that incorporates time series forecasting techniques to predict online the performance of its constituent algorithms. The predictions are used to allocate computational resources to the algorithms, accordingly. The proposed model is demonstrated on parall...

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Veröffentlicht in:	Optimization methods & software Jg. 34; H. 6; S. 1231 - 1250
Hauptverfasser:	Souravlias, D., Kotsireas, I. S., Pardalos, P. M., Parsopoulos, K. E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 02.11.2019 Taylor & Francis Ltd
Schlagworte:	Algorithm portfolios Algorithms Combinatorial analysis combinatorial optimization Forecasting Forecasting techniques Mathematical models metaheuristics parallel algorithms performance forecasting Resource allocation Statistical analysis Tabu search
ISSN:	1055-6788, 1029-4937
Online-Zugang:	Volltext
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