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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Vydané v:	Optimization methods & software Ročník 34; číslo 6; s. 1231 - 1250
Hlavní autori:	Souravlias, D., Kotsireas, I. S., Pardalos, P. M., Parsopoulos, K. E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 02.11.2019 Taylor & Francis Ltd
Predmet:	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
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