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Volume 27, Issue 1
Spring 2019
Issue Cover
All Issues
ISSN 1063-6560
EISSN 1530-9304
In this Issue

Foreword

Foreword
Holger Hoos, Frank Neumann, Heike Trautmann
Evolutionary Computation (2019) 27 (1): 1–2.
View articletitled, Foreword
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Articles

Automated Algorithm Selection: Survey and Perspectives
Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann
Evolutionary Computation (2019) 27 (1): 3–45.
View articletitled, Automated Algorithm Selection: Survey and Perspectives
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Landscape Analysis of a Class of NP-Hard Binary Packing Problems
Khulood Alyahya, Jonathan E. Rowe
Evolutionary Computation (2019) 27 (1): 47–73.
View articletitled, Landscape Analysis of a Class of NP-Hard Binary Packing Problems
Supplementary data
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Direct Feature Evaluation in Black-Box Optimization Using Problem Transformations
Sobia Saleem, Marcus Gallagher, Ian Wood
Evolutionary Computation (2019) 27 (1): 75–98.
View articletitled, Direct Feature Evaluation in Black-Box Optimization Using Problem Transformations
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Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning
Pascal Kerschke, Heike Trautmann
Evolutionary Computation (2019) 27 (1): 99–127.
View articletitled, Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning
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Latin Hypercube Designs with Branching and Nested Factors for Initialization of Automatic Algorithm Configuration
Simon Wessing, Manuel López-Ibáñez
Evolutionary Computation (2019) 27 (1): 129–145.
View articletitled, Latin Hypercube Designs with Branching and Nested Factors for Initialization of Automatic Algorithm Configuration
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Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems
Aymeric Blot, Marie-Éléonore Kessaci, Laetitia Jourdan, Holger H. Hoos
Evolutionary Computation (2019) 27 (1): 147–171.
View articletitled, Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems
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Extending the “Open-Closed Principle” to Automated Algorithm Configuration
Jerry Swan, Steven Adriænsen, Adam D. Barwell, Kevin Hammond, David R. White
Evolutionary Computation (2019) 27 (1): 173–193.
View articletitled, Extending the “Open-Closed Principle” to Automated Algorithm Configuration
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