Peter Korosec

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 67

Top Venues

Publications

Peter Korosec, Tome Eftimov
Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization. GECCO Companion (2024)
Peter Korosec, Tome Eftimov
Opt2Vec - a continuous optimization problem representation based on the algorithm's behavior: A case study on problem classification. Inf. Sci. 680 (2024)
Tome Eftimov, Peter Korosec
Statistical Analyses for Single-objective Stochastic Optimization Algorithms. GECCO Companion (2024)
Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction. CoRR (2023)
Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov
Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction. CEC (2023)
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. CoRR (2023)
Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. GECCO (2023)
Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. GECCO (2023)
Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. CoRR (2023)
Urban Skvorc, Tome Eftimov, Peter Korosec
Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization. SSCI (2023)
Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. CoRR (2023)
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. AutoML (2023)
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
Assessing the Generalizability of a Performance Predictive Model. CoRR (2023)
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
Assessing the Generalizability of a Performance Predictive Model. GECCO Companion (2023)
Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. GECCO (2022)
Gjorgjina Cenikj, Eva Valencic, Gordana Ispirova, Matevz Ogrinc, Riste Stojanov, Peter Korosec, Ermanno Cavalli, Barbara Korousic-Seljak, Tome Eftimov
CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources. Database J. Biol. Databases Curation 2022 (2022) (2022)
Ana Nikolikj, Risto Trajanov, Gjorgjina Cenikj, Peter Korosec, Tome Eftimov
Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction. CEC (2022)
Ana Nikolikj, Ryan Dieter Lang, Peter Korosec, Tome Eftimov
Explaining Differential Evolution Performance Through Problem Landscape Characteristics. BIOMA (2022)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
The importance of landscape features for performance prediction of modular CMA-ES variants. GECCO (2022)
Tome Eftimov, Peter Korosec
Statistical analyses for multi-objective stochastic optimization algorithms: GECCO 2022 tutorial. GECCO Companion (2022)
Urban Skvorc, Tome Eftimov, Peter Korosec
A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations. CEC (2022)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants. CoRR (2022)
Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
Explainable Landscape Analysis in Automated Algorithm Performance Prediction. CoRR (2022)
Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
Explainable Landscape Analysis in Automated Algorithm Performance Prediction. EvoApplications (2022)
Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison. CoRR (2022)
Christian Blum, Tome Eftimov, Peter Korosec
Preface. Nat. Comput. 21 (2) (2022)
Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski
Less is more: Selecting the right benchmarking set of data for time series classification. Expert Syst. Appl. 198 (2022)
Tome Eftimov, Peter Korosec
Robust benchmarking for multi-objective optimization. GECCO Companion (2021)
Tome Eftimov, Peter Korosec
Statistical analyses for meta-heuristic stochastic optimization algorithms. GECCO Companion (2021)
Urban Skvorc, Tome Eftimov, Peter Korosec
The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis. CEC (2021)
Tome Eftimov, Peter Korosec
Deep Statistical Comparison for Multi-Objective Stochastic Optimization Algorithms. Swarm Evol. Comput. 61 (2021)
Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
Explainable Landscape-Aware Optimization Performance Prediction. SSCI (2021)
Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec
Personalizing performance regression models to black-box optimization problems. GECCO (2021)
Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
Explainable Landscape-Aware Optimization Performance Prediction. CoRR (2021)
Tome Eftimov, Peter Korosec
Reducing bias in multi-objective optimization benchmarking. GECCO Companion (2021)
Christian Blum, Tome Eftimov, Peter Korosec
Preface. Nat. Comput. 20 (3) (2021)
Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec
Personalizing Performance Regression Models to Black-Box Optimization Problems. CoRR (2021)
Urban Skvorc, Tome Eftimov, Peter Korosec
A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems. CoRR (2021)
Urban Skvorc, Tome Eftimov, Peter Korosec
A complementarity analysis of the COCO benchmark problems and artificially generated problems. GECCO Companion (2021)
Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. CoRR (2020)
Tome Eftimov, Gasper Petelin, Peter Korosec
DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms. Appl. Soft Comput. 87 (2020)
Eva Tuba, Peter Korosec, Tome Eftimov
In-Depth Insights into Swarm Intelligence Algorithms Performance. MDIS (2020)
Nouredine Melab, Jan Gmys, Peter Korosec, Imen Chakroun
Synergy between parallel computing, optimization and simulation. J. Comput. Sci. 44 (2020)
Tome Eftimov, Gorjan Popovski, Dragi Kocev, Peter Korosec
Performance2vec: a step further in explainable stochastic optimization algorithm performance. GECCO Companion (2020)
Urban Skvorc, Tome Eftimov, Peter Korosec
Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis. Appl. Soft Comput. 90 (2020)
Tome Eftimov, Rok Hribar, Urban Skvorc, Gorjan Popovski, Gasper Petelin, Peter Korosec
PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms. GECCO Companion (2020)
Urban Skvorc, Tome Eftimov, Peter Korosec
Using exploratory landscape analysis to visualize single-objective problems. GECCO Companion (2020)
Tome Eftimov, Peter Korosec
Statistical analyses for meta-heuristic stochastic optimization algorithms: GECCO 2020 tutorial. GECCO Companion (2020)
Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. SSCI (2020)
Tome Eftimov, Peter Korosec
Is the statistical significance between stochastic optimization algorithms' performances also significant in practice? GECCO Companion (2020)
Tome Eftimov, Gasper Petelin, Rok Hribar, Gorjan Popovski, Urban Skvorc, Peter Korosec
Deep statistics: more robust performance statistics for single-objective optimization benchmarking. GECCO Companion (2020)
Urban Skvorc, Tome Eftimov, Peter Korosec
GECCO black-box optimization competitions: progress from 2009 to 2018. GECCO (Companion) (2019)
Tome Eftimov, Peter Korosec
A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space. Inf. Sci. 489 (2019)
Tome Eftimov, Peter Korosec
Identifying practical significance through statistical comparison of meta-heuristic stochastic optimization algorithms. Appl. Soft Comput. 85 (2019)
Urban Skvorc, Tome Eftimov, Peter Korosec
CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018. CEC (2019)
Tome Eftimov, Peter Korosec
Understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis. GECCO (Companion) (2019)
Tome Eftimov, Peter Korosec
The impact of statistics for benchmarking in evolutionary computation research. GECCO (Companion) (2018)
Tome Eftimov, Gordana Ispirova, Peter Korosec, Barbara Korousic-Seljak
The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems. KDIR (2018)
Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
Deep statistical comparison of meta-heuristic stochastic optimization algorithms. GECCO (Companion) (2018)
Tome Eftimov, Gordana Ispirova, Paul Finglas, Peter Korosec, Barbara Korousic-Seljak
Quisper Ontology Learning from Personalized Dietary Web Services. KEOD (2018)
Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
Data-Driven Preference-Based Deep Statistical Ranking for Comparing Multi-objective Optimization Algorithms. BIOMA (2018)
Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms. MOD (2017)
Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach. SSCI (2017)
Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
The Behavior of Deep Statistical Comparison Approach for Different Criteria of Comparing Distributions. IJCCI (2017)
Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
A Novel Approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics. Inf. Sci. 417 (2017)
Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec
Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology. KEOD (2017)
Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec
Grammar and Dictionary based Named-entity Linking for Knowledge Extraction of Evidence-based Dietary Recommendations. KDIR (2016)
Jurij Silc, Katerina Taskova, Peter Korosec
Data Mining-Assisted Parameter Tuning of a Search Algorithm. Informatica (Slovenia) 39 (2) (2015)
Lucas Benedicic, Mitja Stular, Peter Korosec
A GPU-Based Parallel-Agent Optimization Approach for the Service Coverage Problem in UMTS Networks. Comput. Informatics 33 (5) (2014)
Lucas Benedièiè, Marko Pesko, Tomaz Javornik, Peter Korosec
A Metaheuristic Approach for Propagation-Model Tuning in LTE Networks. Informatica (Slovenia) 38 (2) (2014)
Lucas Benedicic, Felipe A. Cruz, Tsuyoshi Hamada, Peter Korosec
A GRASS GIS parallel module for radio-propagation predictions. CoRR (2014)
Lucas Benedicic, Felipe A. Cruz, Tsuyoshi Hamada, Peter Korosec
A GRASS GIS parallel module for radio-propagation predictions. Int. J. Geogr. Inf. Sci. 28 (4) (2014)
Peter Korosec, Jurij Silc
The Continuous Differential Ant-Stigmergy Algorithm applied on real-parameter single objective optimization problems. IEEE Congress on Evolutionary Computation (2013)
Peter Korosec, Uros Bole, Gregor Papa
A multi-objective approach to the application of real-world production scheduling. Expert Syst. Appl. 40 (15) (2013)
Peter Korosec, Marián Vajtersic, Jurij Silc, Rade Kutil
Multi-core implementation of the differential ant-stigmergy algorithm for numerical optimization. J. Supercomput. 63 (3) (2013)
Janez Brest, Peter Korosec, Jurij Silc, Ales Zamuda, Borko Boskovic, Mirjam Sepesy Maucec
Differential evolution and differential ant-stigmergy on dynamic optimisation problems. Int. J. Syst. Sci. 44 (4) (2013)
Peter Korosec, Jurij Silc
The continuous differential ant-stigmergy algorithm for numerical optimization. Comput. Optim. Appl. 56 (2) (2013)
Lucas Benedicic, Mitja Stular, Peter Korosec
Balancing downlink and uplink soft-handover areas in UMTS networks. IEEE Congress on Evolutionary Computation (2012)
Peter Korosec, Jurij Silc
The continuous differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. IEEE Congress on Evolutionary Computation (2012)
Gregor Papa, Vida Vukasinovic, Peter Korosec
Guided restarting local search for production planning. Eng. Appl. Artif. Intell. 25 (2) (2012)
Peter Korosec, Jurij Silc, Bogdan Filipic
The differential ant-stigmergy algorithm. Inf. Sci. 192 (2012)
Katerina Tashkova, Peter Korosec, Jurij Silc, Ljupco Todorovski, Saso Dzeroski
Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis. BMC Syst. Biol. 5 (2011)
Peter Korosec, Jurij Silc, Marián Vajtersic, Rade Kutil
A Shared-Memory ACO-Based Algorithm for Numerical Optimization. IPDPS Workshops (2011)
Peter Korosec, Jurij Silc
The Continuous Differential Ant-Stigmergy Algorithm applied to real-world optimization problems. IEEE Congress on Evolutionary Computation (2011)
Katerina Tashkova, Peter Korosec, Jurij Silc
A distributed multilevel ant-colony algorithm for the multi-way graph partitioning. Int. J. Bio Inspired Comput. 3 (5) (2011)
Peter Korosec, Katerina Tashkova, Jurij Silc
The differential Ant-Stigmergy Algorithm for large-scale global optimization. IEEE Congress on Evolutionary Computation (2010)
Vida Vukasinovic, Peter Korosec, Gregor Papa
Hybrid Parameter-less Evolutionary Algorithm in Production Planning. IJCCI (ICEC) (2010)
Peter Korosec, Jurij Silc
High-dimensional real-parameter optimization using the differential ant-stigmergy algorithm. Int. J. Intell. Comput. Cybern. 2 (1) (2009)
Peter Korosec, Jurij Silc
A stigmergy-based algorithm for black-box optimization: noiseless function testbed. GECCO (Companion) (2009)
Katerina Tashkova, Peter Korosec, Jurij Silc
A Distributed Multilevel Ant-Colony Approach for Finite Element Mesh Decomposition. PPAM (2) (2009)
Peter Korosec, Jurij Silc
The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. IEEE Congress on Evolutionary Computation (2009)
Peter Korosec, Jurij Silc
A stigmergy-based algorithm for black-box optimization: noisy function testbed. GECCO (Companion) (2009)
Peter Korosec, Jurij Silc
A distributed ant-based algorithm for numerical optimization. BADS@ICAC (2009)
Peter Korosec, Jurij Silc
A Stigmergy-Based Algorithm for Continuous Optimization Tested on Real-Life-Like Environment. EvoWorkshops (2009)
Peter Korosec, Jurij Silc
The distributed multilevel ant-stigmergy algorithm used at the electric-motor design. Eng. Appl. Artif. Intell. 21 (6) (2008)
Peter Korosec, Jurij Silc
Using Stigmergy to Solve Numerical Optimization Problems. Comput. Informatics 27 (3) (2008)
Katerina Tashkova, Peter Korosec, Jurij Silc
A Distributed Multilevel Ant Colonies Approach. Informatica (Slovenia) 32 (3) (2008)
Peter Korosec, Jurij Silc
The Differential Ant-Stigmergy Algorithm for Large Scale Real-Parameter Optimization. ANTS Conference (2008)
Peter Korosec, Jurij Silc, Klemen Oblak, Franc Kosel
The differential ant-stigmergy algorithm: an experimental evaluation and a real-world application. IEEE Congress on Evolutionary Computation (2007)
Peter Korosec, Jurij Silc, Klemen Oblak, Franc Kosel
Optimizing the Shape of an Impeller Using the Differential Ant-Stigmergy Algorithm. PPAM (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Peter Korosec