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Gašper Petelin
Gašper Petelin
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Jahr
DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms
T Eftimov, G Petelin, P Korošec
Applied Soft Computing 87, 105977, 2020
262020
Multi-objective approaches to ground station scheduling for optimization of communication with satellites
G Petelin, M Antoniou, G Papa
Optimization and Engineering, 1-38, 2021
62021
HZDR Multiphase Addon for OpenFOAM
F Schlegel, G Petelin, M Tekavčič
Institut Jožef Stefan, 2021
62021
On formulating the ground scheduling problem as a multi-objective bilevel problem
M Antoniou, G Petelin, G Papa
International Conference on Bioinspired Methods and Their Applications, 177-188, 2020
32020
PerformViz: A machine learning approach to visualize and understand the performance of single-objective optimization algorithms
T Eftimov, R Hribar, U Škvorc, G Popovski, G Petelin, P Korošec
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
32020
Less is more: Selecting the right benchmarking set of data for time series classification
T Eftimov, G Petelin, G Cenikj, A Kostovska, G Ispirova, P Korošec, ...
Expert Systems with Applications 198, 116871, 2022
12022
Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem
R Hribar, T Hrga, G Papa, G Petelin, J Povh, N Pržulj, V Vukašinović
Journal of Global Optimization 82 (2), 283-312, 2022
12022
Preferred Solutions of the Ground Station Scheduling Problem using NSGA-III with Weighted Reference Points Selection
M Antoniou, G Petelin, G Papa
2021 IEEE Congress on Evolutionary Computation (CEC), 1840-1847, 2021
12021
Tools for income risk management in agriculture.
G Petelin, J Žgajnar
7. konferenca DAES. Analitične podlage za načrtovanje razvoja kmetijstva …, 2016
12016
GPU-based Accelerated Computation of Coalescence and Breakup Frequencies for Polydisperse Bubbly Flows
G Petelin, R Lehnigk, J Kelling, G Papa, F Schlegel
1
Dynamic computational resource allocation for CFD simulations based on pareto front optimization
G Petelin, M Antoniou, G Papa
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
2022
Memetic Algorithm and Evolutionary Operators for Multi-Objective Matrix Tri-Factorization Problem
R Hribar, G Petelin, J Šilc, G Papa, V Vukašinović
Heuristics for Optimization and Learning, 285-298, 2021
2021
Deep statistics: more robust performance statistics for single-objective optimization benchmarking
T Eftimov, G Petelin, R Hribar, G Popovski, U Škvorc, P Korošec
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
2020
Evolution of Electric Motor Design Approaches: The Domel Case
G Papa, G Petelin, P Korošec
Mednarodna konferenca o visokozmogljivi optimizaciji v industriji, HPOI 2018 …, 2018
2018
How representative is your problem benchmark landscape? A case study on multi-class classification of time-series
T Eftimov, G Petelin, G Cenikj, A Kostovska, G Ispirova, P Korošec, ...
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