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Publication search results
found 14 matches
- 2022
- Youhei Akimoto
, Yoshiki Miyauchi, Atsuo Maki:
Saddle Point Optimization with Approximate Minimization Oracle and Its Application to Robust Berthing Control. ACM Trans. Evol. Learn. Optim. 2(1): 2:1-2:32 (2022) - Mickaël Binois
, Nathan Wycoff
:
A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization. ACM Trans. Evol. Learn. Optim. 2(2): 8:1-8:26 (2022) - Yi-Hsiang Chang, Kuan-Yu Chang
, Henry Kuo
, Chun-Yi Lee
:
Reusability and Transferability of Macro Actions for Reinforcement Learning. ACM Trans. Evol. Learn. Optim. 2(1): 4:1-4:16 (2022) - Anh Viet Do
, Mingyu Guo
, Aneta Neumann
, Frank Neumann
:
Analysis of Evolutionary Diversity Optimization for Permutation Problems. ACM Trans. Evol. Learn. Optim. 2(3): 11:1-11:27 (2022) - Mario Alejandro Hevia Fajardo
, Dirk Sudholt
:
Theoretical and Empirical Analysis of Parameter Control Mechanisms in the (1 + (λ, λ)) Genetic Algorithm. ACM Trans. Evol. Learn. Optim. 2(4): 13:1-13:39 (2022) - Renato Miranda Filho
, Anísio M. Lacerda
, Gisele L. Pappa
:
Explainable Regression Via Prototypes. ACM Trans. Evol. Learn. Optim. 2(4): 14:1-14:26 (2022) - William B. Langdon
:
Deep Genetic Programming Trees Are Robust. ACM Trans. Evol. Learn. Optim. 2(2): 6:1-6:34 (2022) - H. David Mathias
, Annie S. Wu
, Daniel Dang
:
Analysis of Evolved Response Thresholds for Decentralized Dynamic Task Allocation. ACM Trans. Evol. Learn. Optim. 2(2): 5:1-5:30 (2022) - Sukrit Mittal
, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization. ACM Trans. Evol. Learn. Optim. 2(1): 1:1-1:29 (2022) - Yasha Pushak
, Holger H. Hoos
:
AutoML Loss Landscapes. ACM Trans. Evol. Learn. Optim. 2(3): 10:1-10:30 (2022) - Penny Faulkner Rainford
, Barry Porter
:
Code and Data Synthesis for Genetic Improvement in Emergent Software Systems. ACM Trans. Evol. Learn. Optim. 2(2): 7:1-7:35 (2022) - Patrick Spettel
, Hans-Georg Beyer
:
On the Design of a Matrix Adaptation Evolution Strategy for Optimization on General Quadratic Manifolds. ACM Trans. Evol. Learn. Optim. 2(3): 9:1-9:32 (2022) - Hao Wang
, Diederick Vermetten
, Furong Ye
, Carola Doerr
, Thomas Bäck
:
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics. ACM Trans. Evol. Learn. Optim. 2(1): 3:1-3:29 (2022) - Alexander Wild
, Barry Porter
:
Multi-donor Neural Transfer Learning for Genetic Programming. ACM Trans. Evol. Learn. Optim. 2(4): 12:1-12:40 (2022)
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