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ORCIDACM Transactions on Evolutionary Learning and Optimization, Volume 1
Volume 1, Number 1, March 2021
- Jürgen Branke
, Darrell Whitley:
ACM Transactions on Evolutionary Learning and Optimization Inaugural Issue Editorial. 1e:1-1e:2 - George De Ath, Richard M. Everson, Alma As-Aad Rahat, Jonathan E. Fieldsend:
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation. 1:1-1:22 - Dogan Corus, Andrei Lissovoi, Pietro S. Oliveto, Carsten Witt:
On Steady-State Evolutionary Algorithms and Selective Pressure: Why Inverse Rank-Based Allocation of Reproductive Trials Is Best. 2:1-2:38 - Hao Jiang, Yuhang Wang, Ye Tian, Xingyi Zhang, Jianhua Xiao:
Feature Construction for Meta-heuristic Algorithm Recommendation of Capacitated Vehicle Routing Problems. 3:1-3:28 - Michela Lorandi, Leonardo Lucio Custode, Giovanni Iacca:
Genetic Improvement of Routing Protocols for Delay Tolerant Networks. 4:1-4:37
Volume 1, Number 2, June 2021
- Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman:
A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies. 5:1-5:23 - Erik Hemberg, Jamal Toutouh, Abdullah Al-Dujaili, Tom Schmiedlechner, Una-May O'Reilly:
Spatial Coevolution for Generative Adversarial Network Training. 6:1-6:28 - William B. Langdon, Oliver Krauss:
Genetic Improvement of Data for Maths Functions. 7:1-7:30 - Andrew Nader, Danielle Azar:
Evolution of Activation Functions: An Empirical Investigation. 8:1-8:36
Volume 1, Number 3, September 2021
- Miqing Li:
Is Our Archiving Reliable? Multiobjective Archiving Methods on "Simple" Artificial Input Sequences. 9:1-9:19 - Yi Liu, Will N. Browne, Bing Xue:
A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization. 10:1-10:38 - Stephen Kelly, Robert J. Smith, Malcolm I. Heywood, Wolfgang Banzhaf:
Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks. 11:1-11:41 - Peilan Xu, Wenjian Luo, Xin Lin, Jiajia Zhang, Yingying Qiao, Xuan Wang:
Constraint-Objective Cooperative Coevolution for Large-scale Constrained Optimization. 12:1-12:26
Volume 1, Number 4, December 2021
- Denis Antipov, Benjamin Doerr:
Precise Runtime Analysis for Plateau Functions. 13:1-13:28 - Manuel López-Ibáñez, Jürgen Branke, Luís Paquete:
Reproducibility in Evolutionary Computation. 14:1-14:21 - Faramarz Khosravi, Alexander Raß, Jürgen Teich:
Efficient Computation of Probabilistic Dominance in Multi-objective Optimization. 15:1-15:26 - Benjamin Doerr, Frank Neumann:
A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization. 16:1-16:43
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