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ORCIDSamineh Bagheri
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2020 – today
- 2021
[j3]Samineh Bagheri
, Ulf Reinicke, Denis Anders, Wolfgang Konen:
Surrogate-assisted optimization for augmentation of finite element techniques. J. Comput. Sci. 54: 101427 (2021)- [i3]Wolfgang Konen, Samineh Bagheri:
Final Adaptation Reinforcement Learning for N-Player Games. CoRR abs/2111.14375 (2021) - 2020
- [c7]Wolfgang Konen, Samineh Bagheri:
Reinforcement Learning for N-player Games: The Importance of Final Adaptation. BIOMA 2020: 84-96
2010 – 2019
- 2019
- [c6]Samineh Bagheri, Wolfgang Konen, Thomas Bäck:
Solving optimization problems with high conditioning by means of online whitening. GECCO (Companion) 2019: 243-244 - [i2]Samineh Bagheri, Wolfgang Konen, Thomas Bäck:
SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning. CoRR abs/1904.08397 (2019) - 2017
- [j2]Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck:
Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets. Appl. Soft Comput. 61: 377-393 (2017) - [c5]Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya:
Constraint handling in efficient global optimization. GECCO 2017: 673-680 - 2016
- [j1]Samineh Bagheri, Markus Thill, Patrick Koch, Wolfgang Konen:
Online Adaptable Learning Rates for the Game Connect-4. IEEE Trans. Comput. Intell. AI Games 8(1): 33-42 (2016) - [c4]Samineh Bagheri, Wolfgang Konen, Thomas Bäck:
Equality constraint handling for surrogate-assisted constrained optimization. CEC 2016: 1924-1931 - [c3]Samineh Bagheri, Wolfgang Konen, Thomas Bäck:
Online selection of surrogate models for constrained black-box optimization. SSCI 2016: 1-8 - 2015
- [c2]Patrick Koch, Samineh Bagheri, Wolfgang Konen, Christophe Foussette, Peter Krause, Thomas Bäck:
A New Repair Method For Constrained Optimization. GECCO 2015: 273-280 - [i1]Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck:
Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control. CoRR abs/1512.09251 (2015) - 2014
- [c1]Markus Thill, Samineh Bagheri, Patrick Koch, Wolfgang Konen:
Temporal difference learning with eligibility traces for the game connect four. CIG 2014: 1-8
Coauthor Index
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