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Evolutionary Computation, Volume 27
Volume 27, Number 1, Spring 2019
- Holger H. Hoos, Frank Neumann, Heike Trautmann:
Foreword. 1-2 - Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann:
Automated Algorithm Selection: Survey and Perspectives. 3-45 - Khulood AlYahya, Jonathan E. Rowe:
Landscape Analysis of a Class of NP-Hard Binary Packing Problems. 47-73 - Sobia Saleem, Marcus Gallagher, Ian A. Wood:
Direct Feature Evaluation in Black-Box Optimization Using Problem Transformations. 75-98 - Pascal Kerschke, Heike Trautmann:
Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning. 99-127 - Simon Wessing, Manuel López-Ibáñez:
Latin Hypercube Designs with Branching and Nested Factors for Initialization of Automatic Algorithm Configuration. 129-145 - Aymeric Blot, Marie-Eléonore Marmion, Laetitia Jourdan, Holger H. Hoos:
Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems. 147-171 - Jerry Swan, Steven Adriænsen, Adam D. Barwell, Kevin Hammond, David R. White:
Extending the "Open-Closed Principle" to Automated Algorithm Configuration. 173-193
Volume 27, Number 2, Summer 2019
- Siang Yew Chong, Peter Tiño, Jun He, Xin Yao:
A New Framework for Analysis of Coevolutionary Systems - Directed Graph Representation and Random Walks. 195-228 - José Luis Soncco-Álvarez, Daniel M. Muñoz, Mauricio Ayala-Rincón:
Opposition-Based Memetic Algorithm and Hybrid Approach for Sorting Permutations by Reversals. 229-265 - Katherine M. Malan, Irene Moser:
Constraint Handling Guided by Landscape Analysis in Combinatorial and Continuous Search Spaces. 267-289 - Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano:
Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions. 291-311 - Yifan Li, Hai-Lin Liu, Erik D. Goodman:
Hyperplane-Approximation-Based Method for Many-Objective Optimization Problems with Redundant Objectives. 313-344 - Michael Fenton, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill:
Towards Automation and Augmentation of the Design of Schedulers for Cellular Communications Networks. 345-375
Volume 27, Number 3, Fall 2019
- William G. La Cava, Thomas Helmuth, Lee Spector, Jason H. Moore:
A Probabilistic and Multi-Objective Analysis of Lexicase Selection and ε-Lexicase Selection. 377-402 - Edgar Covantes Osuna, Dirk Sudholt:
On the Runtime Analysis of the Clearing Diversity-Preserving Mechanism. 403-433 - Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Anatomy of the Attraction Basins: Breaking with the Intuition. 435-466 - Su Nguyen, Yi Mei, Bing Xue, Mengjie Zhang:
A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules. 467-496 - Michaela Drahosova, Lukás Sekanina, Michal Wiglasz:
Adaptive Fitness Predictors in Coevolutionary Cartesian Genetic Programming. 497-523 - Mojgan Pourhassan, Frank Neumann:
Theoretical Analysis of Local Search and Simple Evolutionary Algorithms for the Generalized Travelling Salesperson Problem. 525-558
Volume 27, Number 4, Winter 2019
- Mojgan Pourhassan, Feng Shi, Frank Neumann:
Parameterized Analysis of Multiobjective Evolutionary Algorithms and the Weighted Vertex Cover Problem. 559-575 - Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael T. M. Emmerich:
Search Dynamics on Multimodal Multiobjective Problems. 577-609 - Benoît Groz, Silviu Maniu:
Hypervolume Subset Selection with Small Subsets. 611-637 - Shauharda Khadka, Jen Jen Chung, Kagan Tumer:
Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems. 639-664 - Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena:
Gaussian Process Surrogate Models for the CMA Evolution Strategy. 665-697 - Hao Wang, Michael Emmerich, Thomas Bäck:
Mirrored Orthogonal Sampling for Covariance Matrix Adaptation Evolution Strategies. 699-725
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