Forecasting continuous optimization algorithm performance improvement within each run.

Peter Korosec https://orcid.org/0000-0003-4492-4603 https://www.wikidata.org/entity/Q56976334 https://id.loc.gov/authorities/names/nb2018011440

Peter Korosec Forecasting continuous optimization algorithm performance improvement within each run. 2026 102399 105 Swarm Evol. Comput. https://doi.org/10.1016/j.swevo.2026.102399 db/journals/swevo/swevo105.html#Korosec26 streams/journals/swevo

Tome Eftimov Peter Korosec Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization. 719-727 2025 GECCO https://doi.org/10.1145/3712256.3726327 conf/gecco/2025 db/conf/gecco/gecco2025.html#EftimovK25

Tome Eftimov Peter Korosec Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization. 2025 July abs/2507.01629 CoRR https://doi.org/10.48550/arXiv.2507.01629 db/journals/corr/corr2507.html#abs-2507-01629 streams/journals/corr

Peter Korosec Tome Eftimov Opt2Vec - a continuous optimization problem representation based on the algorithm's behavior: A case study on problem classification. 121134 2024 680 Inf. Sci. https://doi.org/10.1016/j.ins.2024.121134 db/journals/isci/isci680.html#KorosecE24 streams/journals/isci

Peter Korosec Tome Eftimov Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization. 2024 GECCO Companion https://doi.org/10.1145/3638530.3654304 conf/gecco/2024c db/conf/gecco/gecco2024c.html#KorosecE24 571-574 Tome Eftimov Peter Korosec Statistical Analyses for Single-objective Stochastic Optimization Algorithms. 2024 GECCO Companion https://doi.org/10.1145/3638530.3664202 conf/gecco/2024c db/conf/gecco/gecco2024c.html#EftimovK24 1313-1327 Ana Kostovska Gjorgjina Cenikj Diederick Vermetten Anja Jankovic 0001 Ana Nikolikj Urban Skvorc Peter Korosec Carola Doerr Tome Eftimov PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. 11/1-17 2023 AutoML https://proceedings.mlr.press/v224/kostovska23a.html conf/automl/2023 db/conf/automl/automl2023.html#KostovskaCV0NSK23 Ana Nikolikj Michal Pluhacek Carola Doerr Peter Korosec Tome Eftimov Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction. 1-8 2023 CEC https://doi.org/10.1109/CEC53210.2023.10254146 conf/cec/2023 db/conf/cec/cec2023.html#NikolikjPDKE23 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. 311-314 2023 GECCO Companion https://doi.org/10.1145/3583133.3590617 conf/gecco/2023c db/conf/gecco/gecco2023c.html#NikolikjCIVLEDK23 Ana Nikolikj Saso Dzeroski Mario Andrés Muñoz Carola Doerr Peter Korosec Tome Eftimov Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. 529-537 2023 GECCO https://doi.org/10.1145/3583131.3590424 https://www.wikidata.org/entity/Q130909900 conf/gecco/2023 db/conf/gecco/gecco2023.html#NikolikjDMDKE23 Gjorgjina Cenikj Gasper Petelin Carola Doerr Peter Korosec Tome Eftimov DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. 813-821 2023 GECCO https://doi.org/10.1145/3583131.3590401 conf/gecco/2023 db/conf/gecco/gecco2023.html#CenikjPDKE23 Urban Skvorc Tome Eftimov Peter Korosec Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization. 335-340 2023 SSCI https://doi.org/10.1109/SSCI52147.2023.10371868 conf/ssci/2023 db/conf/ssci/ssci2023.html#SkvorcEK23

Ana Nikolikj Michal Pluhacek Carola Doerr Peter Korosec Tome Eftimov Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction. 2023 abs/2305.19375 CoRR https://doi.org/10.48550/arXiv.2305.19375 db/journals/corr/corr2305.html#abs-2305-19375

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. 2023 abs/2306.00040 CoRR https://doi.org/10.48550/arXiv.2306.00040 db/journals/corr/corr2306.html#abs-2306-00040

Ana Nikolikj Saso Dzeroski Mario Andrés Muñoz Carola Doerr Peter Korosec Tome Eftimov Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. 2023 abs/2306.00479 CoRR https://doi.org/10.48550/arXiv.2306.00479 db/journals/corr/corr2306.html#abs-2306-00479

Gjorgjina Cenikj Gasper Petelin Carola Doerr Peter Korosec Tome Eftimov DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. 2023 abs/2306.05438 CoRR https://doi.org/10.48550/arXiv.2306.05438 db/journals/corr/corr2306.html#abs-2306-05438

Ana Kostovska Gjorgjina Cenikj Diederick Vermetten Anja Jankovic 0001 Ana Nikolikj Urban Skvorc Peter Korosec Carola Doerr Tome Eftimov PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. 2023 abs/2310.10685 CoRR https://doi.org/10.48550/arXiv.2310.10685 db/journals/corr/corr2310.html#abs-2310-10685

Tome Eftimov Peter Korosec Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms Springer 2022 1-124 Natural Computing Series 978-3-030-96916-5 https://doi.org/10.1007/978-3-030-96917-2

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. 2022 2022 Database J. Biol. Databases Curation 2022 https://doi.org/10.1093/database/baac107 db/journals/biodb/biodb2022.html#CenikjVIOSKCKE22

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. 116871 2022 198 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2022.116871 db/journals/eswa/eswa198.html#EftimovPCKIKB22

Christian Blum 0001 Tome Eftimov Peter Korosec Preface. 127-130 2022 21 Nat. Comput. 2 https://doi.org/10.1007/s11047-021-09859-x db/journals/nc/nc21.html#BlumEK22

Ana Nikolikj Ryan Dieter Lang Peter Korosec Tome Eftimov Explaining Differential Evolution Performance Through Problem Landscape Characteristics. 99-113 2022 BIOMA https://doi.org/10.1007/978-3-031-21094-5_8 conf/bioma/2022 db/conf/bioma/bioma2022.html#NikolikjLKE22 Ana Nikolikj Risto Trajanov Gjorgjina Cenikj Peter Korosec Tome Eftimov Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction. 1-8 2022 CEC https://doi.org/10.1109/CEC55065.2022.9870439 conf/cec/2022 db/conf/cec/cec2022.html#NikolikjTCKE22 Urban Skvorc Tome Eftimov Peter Korosec A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations. 1-8 2022 CEC https://doi.org/10.1109/CEC55065.2022.9870313 conf/cec/2022 db/conf/cec/cec2022.html#SkvorcEK22 Risto Trajanov Stefan Dimeski Martin Popovski Peter Korosec Tome Eftimov Explainable Landscape Analysis in Automated Algorithm Performance Prediction. 207-222 2022 EvoApplications https://doi.org/10.1007/978-3-031-02462-7_14 conf/evoW/2022a db/conf/evoW/evoappl2022.html#TrajanovDPKE22 Gjorgjina Cenikj Ryan Dieter Lang Andries Petrus Engelbrecht Carola Doerr Peter Korosec Tome Eftimov SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. 620-629 2022 GECCO https://doi.org/10.1145/3512290.3528809 conf/gecco/2022 db/conf/gecco/gecco2022.html#CenikjLEDKE22 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. 648-656 2022 GECCO https://doi.org/10.1145/3512290.3528832 conf/gecco/2022 db/conf/gecco/gecco2022.html#KostovskaVDDKE22 Tome Eftimov Peter Korosec Statistical analyses for multi-objective stochastic optimization algorithms: GECCO 2022 tutorial. 1342-1356 2022 GECCO Companion https://doi.org/10.1145/3520304.3533668 conf/gecco/2022c db/conf/gecco/gecco2022c.html#EftimovK22 Ana Kostovska Diederick Vermetten Saso Dzeroski Carola Doerr Peter Korosec Tome Eftimov Linking Problem Landscape Features with the Performance of Individual CMA-ES Modules - Data. 2022 February https://doi.org/10.5281/zenodo.5947076 Zenodo streams/repo/zenodo

Risto Trajanov Stefan Dimeski Martin Popovski Peter Korosec Tome Eftimov Explainable Landscape Analysis in Automated Algorithm Performance Prediction. 2022 abs/2203.11828 CoRR https://doi.org/10.48550/arXiv.2203.11828 db/journals/corr/corr2203.html#abs-2203-11828

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. 2022 abs/2204.07431 CoRR https://doi.org/10.48550/arXiv.2204.07431 db/journals/corr/corr2204.html#abs-2204-07431

Gjorgjina Cenikj Ryan Dieter Lang Andries Petrus Engelbrecht Carola Doerr Peter Korosec Tome Eftimov SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison. 2022 abs/2204.11527 CoRR https://doi.org/10.48550/arXiv.2204.11527 db/journals/corr/corr2204.html#abs-2204-11527

Christian Blum 0001 Tome Eftimov Peter Korosec Preface. 341-344 2021 20 Nat. Comput. 3 https://doi.org/10.1007/s11047-021-09858-y db/journals/nc/nc20.html#0001EK21

Tome Eftimov Peter Korosec Deep Statistical Comparison for Multi-Objective Stochastic Optimization Algorithms. 100837 2021 61 Swarm Evol. Comput. https://doi.org/10.1016/j.swevo.2020.100837 db/journals/swevo/swevo61.html#EftimovK21

Urban Skvorc Tome Eftimov Peter Korosec The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis. 1139-1146 2021 CEC https://doi.org/10.1109/CEC45853.2021.9504739 conf/cec/2021 db/conf/cec/cec2021.html#SkvorcEK21 Tome Eftimov Peter Korosec Robust benchmarking for multi-objective optimization. 9-10 2021 GECCO Companion https://doi.org/10.1145/3449726.3463299 conf/gecco/2021c db/conf/gecco/gecco2021c.html#EftimovK21 Tome Eftimov Peter Korosec Reducing bias in multi-objective optimization benchmarking. 27-28 2021 GECCO Companion https://doi.org/10.1145/3449726.3462731 conf/gecco/2021c db/conf/gecco/gecco2021c.html#EftimovK21a Urban Skvorc Tome Eftimov Peter Korosec A complementarity analysis of the COCO benchmark problems and artificially generated problems. 215-216 2021 GECCO Companion https://doi.org/10.1145/3449726.3459585 https://www.wikidata.org/entity/Q130979401 conf/gecco/2021c db/conf/gecco/gecco2021c.html#SkvorcEK21 Tome Eftimov Anja Jankovic 0001 Gorjan Popovski Carola Doerr Peter Korosec Personalizing performance regression models to black-box optimization problems. 669-677 2021 GECCO https://doi.org/10.1145/3449639.3459407 conf/gecco/2021 db/conf/gecco/gecco2021.html#EftimovJPDK21 Tome Eftimov Peter Korosec Statistical analyses for meta-heuristic stochastic optimization algorithms. 770-785 2021 GECCO Companion https://doi.org/10.1145/3449726.3461438 conf/gecco/2021c db/conf/gecco/gecco2021c.html#EftimovK21b Risto Trajanov Stefan Dimeski Martin Popovski Peter Korosec Tome Eftimov Explainable Landscape-Aware Optimization Performance Prediction. 1-8 2021 SSCI https://doi.org/10.1109/SSCI50451.2021.9660124 conf/ssci/2021 db/conf/ssci/ssci2021.html#TrajanovDPKE21

Tome Eftimov Anja Jankovic 0001 Gorjan Popovski Carola Doerr Peter Korosec Personalizing Performance Regression Models to Black-Box Optimization Problems. 2021 abs/2104.10999 CoRR https://arxiv.org/abs/2104.10999 db/journals/corr/corr2104.html#abs-2104-10999

Urban Skvorc Tome Eftimov Peter Korosec A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems. 2021 abs/2104.13060 CoRR https://arxiv.org/abs/2104.13060 db/journals/corr/corr2104.html#abs-2104-13060

Risto Trajanov Stefan Dimeski Martin Popovski Peter Korosec Tome Eftimov Explainable Landscape-Aware Optimization Performance Prediction. 2021 abs/2110.11633 CoRR https://arxiv.org/abs/2110.11633 db/journals/corr/corr2110.html#abs-2110-11633

Tome Eftimov Gasper Petelin Peter Korosec DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms. 105977 2020 87 Appl. Soft Comput. https://doi.org/10.1016/j.asoc.2019.105977 db/journals/asc/asc87.html#EftimovPK20

Urban Skvorc Tome Eftimov Peter Korosec Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis. 106138 2020 90 Appl. Soft Comput. https://doi.org/10.1016/j.asoc.2020.106138 db/journals/asc/asc90.html#SkvorcEK20

Nouredine Melab Jan Gmys Peter Korosec Imen Chakroun Synergy between parallel computing, optimization and simulation. 101168 2020 44 J. Comput. Sci. https://doi.org/10.1016/j.jocs.2020.101168 db/journals/jocs/jocs44.html#MelabGKC20

Tome Eftimov Gasper Petelin Rok Hribar Gorjan Popovski Urban Skvorc Peter Korosec Deep statistics: more robust performance statistics for single-objective optimization benchmarking. 5-6 2020 GECCO Companion https://doi.org/10.1145/3377929.3398183 conf/gecco/2020c db/conf/gecco/gecco2020c.html#EftimovPHPSK20 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. 7-8 2020 GECCO Companion https://doi.org/10.1145/3377929.3398182 conf/gecco/2020c db/conf/gecco/gecco2020c.html#EftimovHSPPK20 Tome Eftimov Peter Korosec Is the statistical significance between stochastic optimization algorithms' performances also significant in practice? 19-20 2020 GECCO Companion https://doi.org/10.1145/3377929.3397485 conf/gecco/2020c db/conf/gecco/gecco2020c.html#EftimovK20 Urban Skvorc Tome Eftimov Peter Korosec Using exploratory landscape analysis to visualize single-objective problems. 27-28 2020 GECCO Companion https://doi.org/10.1145/3377929.3397488 https://www.wikidata.org/entity/Q130986495 conf/gecco/2020c db/conf/gecco/gecco2020c.html#SkvorcEK20 Tome Eftimov Gorjan Popovski Dragi Kocev Peter Korosec Performance2vec: a step further in explainable stochastic optimization algorithm performance. 193-194 2020 GECCO Companion https://doi.org/10.1145/3377929.3390020 conf/gecco/2020c db/conf/gecco/gecco2020c.html#EftimovPKK20 Tome Eftimov Peter Korosec Statistical analyses for meta-heuristic stochastic optimization algorithms: GECCO 2020 tutorial. 724-746 2020 GECCO Companion https://doi.org/10.1145/3377929.3389881 conf/gecco/2020c db/conf/gecco/gecco2020c.html#EftimovK20a Eva Tuba Peter Korosec Tome Eftimov In-Depth Insights into Swarm Intelligence Algorithms Performance. 334-346 2020 MDIS https://doi.org/10.1007/978-3-030-68527-0_21 conf/mdis/2020 db/conf/mdis/mdis2020.html#TubaKE20 Tome Eftimov Gorjan Popovski Quentin Renau Peter Korosec Carola Doerr Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. 775-782 2020 SSCI https://doi.org/10.1109/SSCI47803.2020.9308180 conf/ssci/2020 db/conf/ssci/ssci2020.html#EftimovPRKD20 Thomas Bartz-Beielstein Bogdan Filipic Peter Korosec El-Ghazali Talbi High-Performance Simulation-Based Optimization Springer 2020 Studies in Computational Intelligence 833 978-3-030-18763-7 978-3-030-18764-4 https://doi.org/10.1007/978-3-030-18764-4 db/series/sci/sci833.html

Tome Eftimov Gorjan Popovski Quentin Renau Peter Korosec Carola Doerr Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. 2020 abs/2009.14506 CoRR https://arxiv.org/abs/2009.14506 db/journals/corr/corr2009.html#abs-2009-14506

Tome Eftimov Peter Korosec Identifying practical significance through statistical comparison of meta-heuristic stochastic optimization algorithms. 2019 85 Appl. Soft Comput. https://doi.org/10.1016/j.asoc.2019.105862 https://www.wikidata.org/entity/Q127009443 db/journals/asc/asc85.html#EftimovK19

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. 255-273 2019 489 Inf. Sci. https://doi.org/10.1016/j.ins.2019.03.049 https://www.wikidata.org/entity/Q128148748 db/journals/isci/isci489.html#EftimovK19

Urban Skvorc Tome Eftimov Peter Korosec CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018. 3126-3133 2019 CEC https://doi.org/10.1109/CEC.2019.8790158 conf/cec/2019 db/conf/cec/cec2019.html#SkvorcEK19 Tome Eftimov Peter Korosec Understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis. 21-22 2019 GECCO (Companion) https://doi.org/10.1145/3319619.3326756 conf/gecco/2019c db/conf/gecco/gecco2019c.html#EftimovK19 Urban Skvorc Tome Eftimov Peter Korosec GECCO black-box optimization competitions: progress from 2009 to 2018. 275-276 2019 GECCO (Companion) https://doi.org/10.1145/3319619.3321996 conf/gecco/2019c db/conf/gecco/gecco2019c.html#SkvorcEK19 Tome Eftimov Peter Korosec Barbara Korousic-Seljak Data-Driven Preference-Based Deep Statistical Ranking for Comparing Multi-objective Optimization Algorithms. 138-150 2018 BIOMA https://doi.org/10.1007/978-3-319-91641-5_12 conf/bioma/2018 db/conf/bioma/bioma2018.html#EftimovKK18 Tome Eftimov Peter Korosec Barbara Korousic-Seljak Deep statistical comparison of meta-heuristic stochastic optimization algorithms. 15-16 2018 GECCO (Companion) https://doi.org/10.1145/3205651.3208210 conf/gecco/2018c db/conf/gecco/gecco2018c.html#EftimovKK18 Tome Eftimov Peter Korosec The impact of statistics for benchmarking in evolutionary computation research. 1329-1336 2018 GECCO (Companion) https://doi.org/10.1145/3205651.3208232 conf/gecco/2018c db/conf/gecco/gecco2018c.html#EftimovK18 Tome Eftimov Gordana Ispirova Paul Finglas Peter Korosec Barbara Korousic-Seljak Quisper Ontology Learning from Personalized Dietary Web Services. 277-284 2018 KEOD https://doi.org/10.5220/0006951302770284 conf/ic3k/2018keod db/conf/ic3k/keod2018.html#EftimovIFKK18 Tome Eftimov Gordana Ispirova Peter Korosec Barbara Korousic-Seljak The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems. 313-320 2018 KDIR https://doi.org/10.5220/0006951703130320 conf/ic3k/2018kdir db/conf/ic3k/kdir2018.html#EftimovIKK18 Peter Korosec Nouredine Melab El-Ghazali Talbi Bioinspired Optimization Methods and Their Applications - 8th International Conference, BIOMA 2018, Paris, France, May 16-18, 2018, Proceedings BIOMA Springer 2018 Lecture Notes in Computer Science 10835 978-3-319-91640-8 978-3-319-91641-5 https://doi.org/10.1007/978-3-319-91641-5 db/conf/bioma/bioma2018.html

Tome Eftimov Peter Korosec Barbara Korousic-Seljak A Novel Approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics. 186-215 2017 417 Inf. Sci. https://doi.org/10.1016/j.ins.2017.07.015 db/journals/isci/isci417.html#EftimovKK17

Gordana Ispirova Tome Eftimov Barbara Korousic-Seljak Peter Korosec Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology. 203-210 2017 KEOD https://doi.org/10.5220/0006504302030210 conf/ic3k/2017keod db/conf/ic3k/keod2017.html#IspirovaEKK17 Tome Eftimov Peter Korosec Barbara Korousic-Seljak The Behavior of Deep Statistical Comparison Approach for Different Criteria of Comparing Distributions. 73-82 2017 IJCCI https://doi.org/10.5220/0006499900730082 conf/ijcci/2017 db/conf/ijcci/ijcci2017.html#EftimovKK17 Tome Eftimov Peter Korosec Barbara Korousic-Seljak Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms. 76-87 2017 MOD https://doi.org/10.1007/978-3-319-72926-8_7 conf/mod/2017 db/conf/mod/mod2017.html#EftimovKK17 Tome Eftimov Peter Korosec Barbara Korousic-Seljak Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach. 1-8 2017 SSCI https://doi.org/10.1109/SSCI.2017.8280910 conf/ssci/2017 db/conf/ssci/ssci2017.html#EftimovKK17 Tome Eftimov Barbara Korousic-Seljak Peter Korosec Grammar and Dictionary based Named-entity Linking for Knowledge Extraction of Evidence-based Dietary Recommendations. 150-157 2016 KDIR https://doi.org/10.5220/0006032401500157 conf/ic3k/2016kdir db/conf/ic3k/kdir2016.html#EftimovKK16

Jurij Silc Katerina Taskova Peter Korosec Data Mining-Assisted Parameter Tuning of a Search Algorithm. 2015 39 Informatica (Slovenia) 2 http://www.informatica.si/index.php/informatica/article/view/833 db/journals/informaticaSI/informaticaSI39.html#SilcTK15

Lucas Benedicic Mitja Stular Peter Korosec A GPU-Based Parallel-Agent Optimization Approach for the Service Coverage Problem in UMTS Networks. 1025-1046 2014 33 Comput. Informatics 5 http://www.cai.sk/ojs/index.php/cai/article/view/1002 db/journals/cai/cai33.html#BenedicicSK14

Lucas Benedicic Felipe A. Cruz Tsuyoshi Hamada Peter Korosec A GRASS GIS parallel module for radio-propagation predictions. 799-823 2014 28 Int. J. Geogr. Inf. Sci. 4 https://doi.org/10.1080/13658816.2013.879151 db/journals/gis/gis28.html#BenedicicCHK14

Lucas Benedièiè Marko Pesko Tomaz Javornik Peter Korosec A Metaheuristic Approach for Propagation-Model Tuning in LTE Networks. 2014 38 Informatica (Slovenia) 2 http://www.informatica.si/index.php/informatica/article/view/693 db/journals/informaticaSI/informaticaSI38.html#BenedieiePJK14

Lucas Benedicic Felipe A. Cruz Tsuyoshi Hamada Peter Korosec A GRASS GIS parallel module for radio-propagation predictions. 2014 abs/1402.4010 CoRR http://arxiv.org/abs/1402.4010 db/journals/corr/corr1402.html#BenedicicCHK14

Peter Korosec Jurij Silc The continuous differential ant-stigmergy algorithm for numerical optimization. 481-502 2013 56 Comput. Optim. Appl. 2 https://doi.org/10.1007/s10589-013-9561-8 db/journals/coap/coap56.html#KorosecS13

Peter Korosec Uros Bole Gregor Papa A multi-objective approach to the application of real-world production scheduling. 5839-5853 2013 40 Expert Syst. Appl. 15 https://doi.org/10.1016/j.eswa.2013.05.035 db/journals/eswa/eswa40.html#KorosecBP13

Janez Brest Peter Korosec Jurij Silc Ales Zamuda Borko Boskovic Mirjam Sepesy Maucec Differential evolution and differential ant-stigmergy on dynamic optimisation problems. 663-679 2013 44 Int. J. Syst. Sci. 4 https://doi.org/10.1080/00207721.2011.617899 db/journals/ijsysc/ijsysc44.html#BrestKSZBM13

Peter Korosec Marián Vajtersic Jurij Silc Rade Kutil Multi-core implementation of the differential ant-stigmergy algorithm for numerical optimization. 757-772 2013 63 J. Supercomput. 3 https://doi.org/10.1007/s11227-012-0772-z db/journals/tjs/tjs63.html#KorosecVSK13

Peter Korosec Jurij Silc The Continuous Differential Ant-Stigmergy Algorithm applied on real-parameter single objective optimization problems. 1658-1663 2013 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2013.6557760 conf/cec/2013 db/conf/cec/cec2013.html#KorosecS13

Gregor Papa Vida Vukasinovic Peter Korosec Guided restarting local search for production planning. 242-253 2012 25 Eng. Appl. Artif. Intell. 2 https://doi.org/10.1016/j.engappai.2011.07.001 db/journals/eaai/eaai25.html#PapaVK12

Peter Korosec Jurij Silc Bogdan Filipic The differential ant-stigmergy algorithm. 82-97 2012 192 Inf. Sci. https://doi.org/10.1016/j.ins.2010.05.002 db/journals/isci/isci192.html#KorosecSF12

Lucas Benedicic Mitja Stular Peter Korosec Balancing downlink and uplink soft-handover areas in UMTS networks. 1-8 2012 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2012.6252862 conf/cec/2012 db/conf/cec/cec2012.html#BenedicicSK12 Peter Korosec Jurij Silc The continuous differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. 1-8 2012 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2012.6256508 conf/cec/2012 db/conf/cec/cec2012.html#KorosecS12

Katerina Tashkova Peter Korosec Jurij Silc Ljupco Todorovski Saso Dzeroski Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis. 159 2011 5 BMC Syst. Biol. https://doi.org/10.1186/1752-0509-5-159 https://www.wikidata.org/entity/Q34046582 db/journals/bmcsb/bmcsb5.html#TashkovaKSTD11

Katerina Tashkova Peter Korosec Jurij Silc A distributed multilevel ant-colony algorithm for the multi-way graph partitioning. 286-296 2011 3 Int. J. Bio Inspired Comput. 5 https://doi.org/10.1504/IJBIC.2011.042257 db/journals/ijbic/ijbic3.html#TashkovaKS11

Peter Korosec Jurij Silc The Continuous Differential Ant-Stigmergy Algorithm applied to real-world optimization problems. 1327-1334 2011 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2011.5949770 conf/cec/2011 db/conf/cec/cec2011.html#KorosecS11 Peter Korosec Jurij Silc Marián Vajtersic Rade Kutil A Shared-Memory ACO-Based Algorithm for Numerical Optimization. 352-357 2011 IPDPS Workshops https://doi.org/10.1109/IPDPS.2011.176 https://doi.ieeecomputersociety.org/10.1109/IPDPS.2011.176 conf/ipps/2011w db/conf/ipps/ipdps2011w.html#KorosecSVK11 Peter Korosec Katerina Tashkova Jurij Silc The differential Ant-Stigmergy Algorithm for large-scale global optimization. 1-8 2010 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2010.5586201 conf/cec/2010 db/conf/cec/cec2010.html#KorosecTS10 Vida Vukasinovic Peter Korosec Gregor Papa Hybrid Parameter-less Evolutionary Algorithm in Production Planning. 231-236 2010 IJCCI (ICEC) conf/ijcci/2010-2 db/conf/ijcci/ijcci2010-2.html#VukasinovicKP10

Peter Korosec Jurij Silc High-dimensional real-parameter optimization using the differential ant-stigmergy algorithm. 34-51 2009 2 Int. J. Intell. Comput. Cybern. 1 https://doi.org/10.1108/17563780910939246 db/journals/ijicc/ijicc2.html#KorosecS09

Peter Korosec Jurij Silc The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. 407-414 2009 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2009.4982975 conf/cec/2009 db/conf/cec/cec2009.html#KorosecS09 Peter Korosec Jurij Silc A Stigmergy-Based Algorithm for Continuous Optimization Tested on Real-Life-Like Environment. 675-684 2009 EvoWorkshops https://doi.org/10.1007/978-3-642-01129-0_77 conf/evoW/2009 db/conf/evoW/evoW2009.html#KorosecS09 Peter Korosec Jurij Silc A stigmergy-based algorithm for black-box optimization: noiseless function testbed. 2295-2302 2009 GECCO (Companion) https://doi.org/10.1145/1570256.1570320 conf/gecco/2009c db/conf/gecco/gecco2009c.html#KorosecS09 Peter Korosec Jurij Silc A stigmergy-based algorithm for black-box optimization: noisy function testbed. 2375-2382 2009 GECCO (Companion) https://doi.org/10.1145/1570256.1570331 conf/gecco/2009c db/conf/gecco/gecco2009c.html#KorosecS09a Peter Korosec Jurij Silc A distributed ant-based algorithm for numerical optimization. 37-44 2009 BADS@ICAC https://doi.org/10.1145/1555284.1555291 https://www.wikidata.org/entity/Q130959620 conf/icac/2009bads db/conf/icac/bads2009.html#KorosecS09 Katerina Tashkova Peter Korosec Jurij Silc A Distributed Multilevel Ant-Colony Approach for Finite Element Mesh Decomposition. 398-407 2009 PPAM (2) https://doi.org/10.1007/978-3-642-14403-5_42 conf/ppam/2009-2 db/conf/ppam/ppam2009-2.html#TaskovaKS09

Peter Korosec Jurij Silc Using Stigmergy to Solve Numerical Optimization Problems. 377-402 2008 27 Comput. Informatics 3 http://www.cai.sk/ojs/index.php/cai/article/view/255 db/journals/cai/cai27.html#KorosecS08

Peter Korosec Jurij Silc The distributed multilevel ant-stigmergy algorithm used at the electric-motor design. 941-951 2008 21 Eng. Appl. Artif. Intell. 6 https://doi.org/10.1016/j.engappai.2007.09.003 db/journals/eaai/eaai21.html#KorosecS08

Katerina Tashkova Peter Korosec Jurij Silc A Distributed Multilevel Ant Colonies Approach. 307-317 2008 32 Informatica (Slovenia) 3 http://www.informatica.si/index.php/informatica/article/view/203 db/journals/informaticaSI/informaticaSI32.html#TaskovaKS08

Peter Korosec Jurij Silc The Differential Ant-Stigmergy Algorithm for Large Scale Real-Parameter Optimization. 413-414 2008 ANTS Conference https://doi.org/10.1007/978-3-540-87527-7_51 conf/antsw/2008 db/conf/antsw/ants2008.html#KorosecS08

Tea Tusar Peter Korosec Gregor Papa Bogdan Filipic Jurij Silc A comparative study of stochastic optimization methods in electric motor design. 101-111 2007 27 Appl. Intell. 2 https://doi.org/10.1007/s10489-006-0022-2 db/journals/apin/apin27.html#TusarKPFS07

Peter Korosec Jurij Silc Klemen Oblak Franc Kosel The differential ant-stigmergy algorithm: an experimental evaluation and a real-world application. 157-164 2007 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2007.4424467 conf/cec/2007 db/conf/cec/cec2007.html#KorosecSOK07 Peter Korosec Jurij Silc Klemen Oblak Franc Kosel Optimizing the Shape of an Impeller Using the Differential Ant-Stigmergy Algorithm. 520-529 2007 PPAM https://doi.org/10.1007/978-3-540-68111-3_54 conf/ppam/2007 db/conf/ppam/ppam2007.html#KorosecSOK07 Peter Korosec Jurij Silc Bogdan Filipic Erkki Laitinen Ant stigmergy on the grid: optimizing the cooling process in continuous steel casting. 2006 conf/ipps/2006 IPDPS https://doi.org/10.1109/IPDPS.2006.1639516 https://doi.ieeecomputersociety.org/10.1109/IPDPS.2006.1639516 db/conf/ipps/ipdps2006.html#KorosecSFL06 Jurij Silc Peter Korosec The Distributed Stigmergic Algorithm for Multi-parameter Optimization. 92-99 2005 conf/ppam/2005 PPAM https://doi.org/10.1007/11752578_12 db/conf/ppam/ppam2005.html#SilcK05 Jurij Silc Peter Korosec Borut Robic Ant Colonies and the Mesh-Partitioning Problem. 2005 reference/crc/2005bioi Handbook of Bioinspired Algorithms and Applications https://doi.org/10.1201/9781420035063.ch19 db/reference/crc/bioi2005.html#SilcKR05

Peter Korosec Jurij Silc Borut Robic Solving the mesh-partitioning problem with an ant-colony algorithm. 785-801 2004 30 Parallel Comput. 5-6 https://doi.org/10.1016/j.parco.2003.12.016 db/journals/pc/pc30.html#KorosecSR04

Peter Korosec Jurij Silc Borut Robic "Solving the mesh-partitioning problem with an ant-colony algorithm" [Parallel Computing 30 (2004) 785-801]. 919-921 2004 30 Parallel Comput. 8 https://doi.org/10.1016/j.parco.2004.07.002 db/journals/pc/pc30.html#KorosecSR04a

Peter Korosec Jurij Silc Borut Robic Mesh-Partitioning with the Multiple Ant-Colony Algorithm. 430-432 https://doi.org/10.1007/978-3-540-28646-2_50 2004 conf/antsw/2004 ANTS Workshop db/conf/antsw/antsw2004.html#KorosecSR04 Peter Korosec Jurij Silc Borut Robic Mesh Partitioning: A Multilevel Ant-Colony-Optimization Algorithm. 146 2003 conf/ipps/2003 IPDPS https://doi.org/10.1109/IPDPS.2003.1213278 https://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213278 db/conf/ipps/ipdps2003.html#KorosecSR03 Jurij Silc Peter Korosec Borut Robic Combining Vector Quantization and Ant-Colony Algorithm for Mesh-Partitioning. 113-118 https://doi.org/10.1007/978-3-540-24669-5_15 2003 conf/ppam/2003 PPAM db/conf/ppam/ppam2003.html#SilcKR03

Peter Korosec Jurij Silc Borut Robic An Experimental Study of an Ant-colony Algorithm for the Mesh-partitioning Problem. 2002 5 Parallel Distributed Comput. Pract. 3 http://www.scpe.org/index.php/scpe/article/view/292 db/journals/scpe/scpe5.html#KorosecSR02

Thomas Bartz-Beielstein Lucas Benedicic Lucas Benedièiè Christian Blum 0001 Jasmin Bogatinovski Uros Bole Borko Boskovic Janez Brest Ermanno Cavalli Gjorgjina Cenikj Imen Chakroun Felipe A. Cruz Stefan Dimeski Carola Doerr Saso Dzeroski Tome Eftimov Andries P. EngelbrechtAndries Petrus Engelbrecht Bogdan Filipic Paul Finglas Jan Gmys Tsuyoshi Hamada Rok Hribar Gordana Ispirova Anja Jankovic 0001 Tomaz Javornik Dragi Kocev Barbara Korousic-Seljak Franc Kosel Ana Kostovska Rade Kutil Erkki Laitinen Ryan Dieter Lang Mirjam Sepesy Maucec Nouredine Melab Mario A. MuñozMario Andrés Muñoz Ana Nikolikj Klemen Oblak Matevz Ogrinc Gregor Papa Marko Pesko Gasper Petelin Michal Pluhacek Gorjan Popovski Martin Popovski Quentin Renau Borut Robic Jurij Silc Urban Skvorc Riste Stojanov Mitja Stular El-Ghazali Talbi Katerina TashkovaKaterina Taskova Ljupco Todorovski Risto Trajanov Eva Tuba Tea Tusar Marián Vajtersic Eva Valencic Diederick Vermetten Vida Vukasinovic Ales Zamuda