Works matching IS 10636560 AND DT 2019 AND VI 27 AND IP 1
Results: 8
Extending the "Open-Closed Principle" to Automated Algorithm Configuration.
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- Evolutionary Computation, 2019, v. 27, n. 1, p. 173, doi. 10.1162/evco_a_00245
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- Article
Foreword.
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- Evolutionary Computation, 2019, v. 27, n. 1, p. 1, doi. 10.1162/evco_e_00246
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Direct Feature Evaluation in Black-Box Optimization Using Problem Transformations.
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- Evolutionary Computation, 2019, v. 27, n. 1, p. 75, doi. 10.1162/evco_a_00247
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Automated Algorithm Selection: Survey and Perspectives.
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- Evolutionary Computation, 2019, v. 27, n. 1, p. 3, doi. 10.1162/evco_a_00242
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Latin Hypercube Designs with Branching and Nested Factors for Initialization of Automatic Algorithm Configuration.
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- Evolutionary Computation, 2019, v. 27, n. 1, p. 129, doi. 10.1162/evco_a_00241
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Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems.
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- Evolutionary Computation, 2019, v. 27, n. 1, p. 147, doi. 10.1162/evco_a_00240
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- Article
Landscape Analysis of a Class of NP-Hard Binary Packing Problems.
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- Evolutionary Computation, 2019, v. 27, n. 1, p. 47, doi. 10.1162/evco_a_00237
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- Article
Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning.
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- Evolutionary Computation, 2019, v. 27, n. 1, p. 99, doi. 10.1162/evco_a_00236
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- Article