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• W2155943191 abstract "An algorithm portfolio is a set of algorithms that are bundled together for increased overall performance. While being mostly applied to computationally hard problems so far, we investigate portfolio selection for simulation algorithms and focus on their application to adaptive simulation replication. Since the portfolio selection problem is itself hard to solve, we introduce a genetic algorithm to select the most promising portfolios from large sets of simulation algorithms. The effectiveness of this mechanism is evaluated by data from both a realistic performance study and a dedicated test environment." @default.
• W2155943191 created "2016-06-24" @default.
• W2155943191 creator A5016276885 @default.
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• W2155943191 date "2010-05-01" @default.
• W2155943191 modified "2023-09-26" @default.
• W2155943191 title "Selecting Simulation Algorithm Portfolios by Genetic Algorithms" @default.
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• W2155943191 doi "https://doi.org/10.1109/pads.2010.5471673" @default.
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