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Tipaluck Krityakierne
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2020 – today
- 2024
- [j8]Bhumrapee Soonjun
, Tipaluck Krityakierne
GDESA: Gradient Differential Evolution-Simulated Annealing Hybrid. IEEE Access 12: 165555-165581 (2024) - [i2]Tipaluck Krityakierne, Thotsaporn Thanatipanonda, Doron Zeilberger:
von Neumann and Newman Pokers with Finite Decks. CoRR abs/2407.16155 (2024) - 2023
- [j7]Treerak Kongthanasuwan, Nakarin Sriwiboon, Banpot Horbanluekit, Wasakorn Laesanklang
Market Analysis with Business Intelligence System for Marketing Planning. Inf. 14(2): 116 (2023) - [j6]Tipaluck Krityakierne
The card guessing game: A generating function approach. J. Symb. Comput. 115: 1-17 (2023) - 2021
- [j5]Poompol Buathong
Optimization Models for Efficient (t, r) Broadcast Domination in Graphs. Symmetry 13(6): 1028 (2021) - 2020
- [j4]Kittisak Chaiyotha, Tipaluck Krityakierne
A Comparative Study of Infill Sampling Criteria for Computationally Expensive Constrained Optimization Problems. Symmetry 12(10): 1631 (2020) - [c3]Poompol Buathong
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization. AISTATS 2020: 2731-2741
2010 – 2019
- 2019
- [i1]Poompol Buathong, David Ginsbourger, Tipaluck Krityakierne:
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization. CoRR abs/1910.04086 (2019) - 2017
- [j3]Tipaluck Krityakierne
SOMS: SurrOgate MultiStart algorithm for use with nonlinear programming for global optimization. Int. Trans. Oper. Res. 24(5): 1139-1172 (2017) - 2016
- [j2]Tipaluck Krityakierne
SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems. J. Glob. Optim. 66(3): 417-437 (2016) - [j1]Victor Picheny, David Ginsbourger
Comment: Some Enhancements Over the Augmented Lagrangian Approach. Technometrics 58(1): 17-21 (2016) - 2015
- [c2]Tipaluck Krityakierne
Global Optimization with Sparse and Local Gaussian Process Models. MOD 2015: 185-196 - 2014
- [c1]Juliane Müller, Tipaluck Krityakierne
SO-MODS: Optimization for high dimensional computationally expensive multi-modal functions with surrogate search. IEEE Congress on Evolutionary Computation 2014: 1092-1099
Coauthor Index
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last updated on 2024-12-02 21:32 CET by the dblp team
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