Peter Korošec
Peter Korošec
Professor of Computer Science at Jožef Stefan Institute and FAMNIT
Verified email at - Homepage
Cited by
Cited by
The differential ant-stigmergy algorithm
P Korošec, J Šilc, B Filipič
Information Sciences 192, 82-97, 2012
A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations
T Eftimov, B Koroušić Seljak, P Korošec
PloS one 12 (6), e0179488, 2017
Solving the mesh-partitioning problem with an ant-colony algorithm
P Korošec, J Šilc, B Robič
Parallel computing 30 (5-6), 785-801, 2004
Differential evolution and differential ant-stigmergy on dynamic optimisation problems
J Brest, P Korošec, J Šilc, A Zamuda, B Bošković, MS Maučec
International Journal of Systems Science 44 (4), 663-679, 2013
A novel approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics
T Eftimov, P Korošec, BK Seljak
Information Sciences 417, 186-215, 2017
A comparative study of stochastic optimization methods in electric motor design
T Tušar, P Korošec, G Papa, B Filipič, J Šilc
Applied Intelligence 27 (2), 101-111, 2007
Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis
K Tashkova, P Korošec, J Šilc, L Todorovski, S Džeroski
BMC systems biology 5 (1), 1-26, 2011
StandFood: standardization of foods using a semi-automatic system for classifying and describing foods according to FoodEx2
T Eftimov, P Korošec, B Koroušić Seljak
Nutrients 9 (6), 542, 2017
The differential ant-stigmergy algorithm applied to dynamic optimization problems
P Korosec, J Silc
2009 IEEE Congress on Evolutionary Computation, 407-414, 2009
The continuous differential ant-stigmergy algorithm applied to real-world optimization problems
P Korošec, J Šilc
2011 IEEE congress of evolutionary computation (CEC), 1327-1334, 2011
A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space
T Eftimov, P Korošec
Information Sciences 489, 255-273, 2019
Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis
U Škvorc, T Eftimov, P Korošec
Applied Soft Computing 90, 106138, 2020
A multi-objective approach to the application of real-world production scheduling
P Korošec, U Bole, G Papa
Expert systems with applications 40 (15), 5839-5853, 2013
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
The differential ant-stigmergy algorithm for large-scale global optimization
P Korošec, K Tashkova, J Šilc
IEEE Congress on Evolutionary Computation, 1-8, 2010
Using stigmergy to solve numerical optimization problems
P Korošec, J Šilc
Computing and Informatics 27 (3), 377-402, 2008
The differential ant-stigmergy algorithm: An experimental evaluation and a real-world application
P Korosec, J Silc, K Oblak, F Kosel
2007 IEEE Congress on Evolutionary Computation, 157-164, 2007
Data-driven preference-based deep statistical ranking for comparing multi-objective optimization algorithms
T Eftimov, P Korošec, B Koroušić Seljak
International Conference on Bioinspired Methods and Their Applications, 138-150, 2018
Stigmergy as an approach to metaheuristic optimization
P Korošec
P. Korošec, 2006
The multilevel ant stigmergy algorithm: an industrial case study
P Korošec, J Šilc
Proceedings of the 8th Joint Confeence on Information Sciences JCIS 2005 …, 2005
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