An Experimental Study of an Ant-colony Algorithm for the Mesh-partitioning Problem. - Peter Korosec; Jurij Silc; Borut Robic (Parallel Distributed Comput. Pract., 2002)

Mesh Partitioning: A Multilevel Ant-Colony-Optimization Algorithm. - Peter Korosec; Jurij Silc; Borut Robic (IPDPS, 2003)

Combining Vector Quantization and Ant-Colony Algorithm for Mesh-Partitioning. - Jurij Silc; Peter Korosec; Borut Robic (PPAM, 2003)

Mesh-Partitioning with the Multiple Ant-Colony Algorithm. - Peter Korosec; Jurij Silc; Borut Robic (ANTS Workshop, 2004)

Solving the mesh-partitioning problem with an ant-colony algorithm. - Peter Korosec; Jurij Silc; Borut Robic (Parallel Comput., 2004)

"Solving the mesh-partitioning problem with an ant-colony algorithm" [Parallel Computing 30 (2004) 785-801]. - Peter Korosec; Jurij Silc; Borut Robic (Parallel Comput., 2004)

The Distributed Stigmergic Algorithm for Multi-parameter Optimization. - Jurij Silc; Peter Korosec (PPAM, 2005)

Ant Colonies and the Mesh-Partitioning Problem. - Jurij Silc; Peter Korosec; Borut Robic (Handbook of Bioinspired Algorithms and Applications, 2005)

Ant stigmergy on the grid: optimizing the cooling process in continuous steel casting. - Peter Korosec; Jurij Silc; Bogdan Filipic; Erkki Laitinen (IPDPS, 2006)

The differential ant-stigmergy algorithm: an experimental evaluation and a real-world application. - Peter Korosec; Jurij Silc; Klemen Oblak; Franc Kosel (IEEE Congress on Evolutionary Computation, 2007)

Optimizing the Shape of an Impeller Using the Differential Ant-Stigmergy Algorithm. - Peter Korosec; Jurij Silc; Klemen Oblak; Franc Kosel (PPAM, 2007)

A comparative study of stochastic optimization methods in electric motor design. - Tea Tusar; Peter Korosec; Gregor Papa; Bogdan Filipic; Jurij Silc (Appl. Intell., 2007)

The Differential Ant-Stigmergy Algorithm for Large Scale Real-Parameter Optimization. - Peter Korosec; Jurij Silc (ANTS Conference, 2008)

Using Stigmergy to Solve Numerical Optimization Problems. - Peter Korosec; Jurij Silc (Comput. Informatics, 2008)

The distributed multilevel ant-stigmergy algorithm used at the electric-motor design. - Peter Korosec; Jurij Silc (Eng. Appl. Artif. Intell., 2008)

A Distributed Multilevel Ant Colonies Approach. - Katerina Tashkova; Peter Korosec; Jurij Silc (Informatica (Slovenia), 2008)

The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. - Peter Korosec; Jurij Silc (IEEE Congress on Evolutionary Computation, 2009)

A Stigmergy-Based Algorithm for Continuous Optimization Tested on Real-Life-Like Environment. - Peter Korosec; Jurij Silc (EvoWorkshops, 2009)

A stigmergy-based algorithm for black-box optimization: noiseless function testbed. - Peter Korosec; Jurij Silc (GECCO (Companion), 2009)

A stigmergy-based algorithm for black-box optimization: noisy function testbed. - Peter Korosec; Jurij Silc (GECCO (Companion), 2009)

A distributed ant-based algorithm for numerical optimization. - Peter Korosec; Jurij Silc (BADS@ICAC, 2009)

A Distributed Multilevel Ant-Colony Approach for Finite Element Mesh Decomposition. - Katerina Tashkova; Peter Korosec; Jurij Silc (PPAM (2), 2009)

High-dimensional real-parameter optimization using the differential ant-stigmergy algorithm. - Peter Korosec; Jurij Silc (Int. J. Intell. Comput. Cybern., 2009)

The differential Ant-Stigmergy Algorithm for large-scale global optimization. - Peter Korosec; Katerina Tashkova; Jurij Silc (IEEE Congress on Evolutionary Computation, 2010)

Hybrid Parameter-less Evolutionary Algorithm in Production Planning. - Vida Vukasinovic; Peter Korosec; Gregor Papa (IJCCI (ICEC), 2010)

The Continuous Differential Ant-Stigmergy Algorithm applied to real-world optimization problems. - Peter Korosec; Jurij Silc (IEEE Congress on Evolutionary Computation, 2011)

A Shared-Memory ACO-Based Algorithm for Numerical Optimization. - Peter Korosec; Jurij Silc; Marián Vajtersic; Rade Kutil (IPDPS Workshops, 2011)

Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis. - Katerina Tashkova; Peter Korosec; Jurij Silc; Ljupco Todorovski; Saso Dzeroski (BMC Syst. Biol., 2011)

A distributed multilevel ant-colony algorithm for the multi-way graph partitioning. - Katerina Tashkova; Peter Korosec; Jurij Silc (Int. J. Bio Inspired Comput., 2011)

Balancing downlink and uplink soft-handover areas in UMTS networks. - Lucas Benedicic; Mitja Stular; Peter Korosec (IEEE Congress on Evolutionary Computation, 2012)

The continuous differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. - Peter Korosec; Jurij Silc (IEEE Congress on Evolutionary Computation, 2012)

Guided restarting local search for production planning. - Gregor Papa; Vida Vukasinovic; Peter Korosec (Eng. Appl. Artif. Intell., 2012)

The differential ant-stigmergy algorithm. - Peter Korosec; Jurij Silc; Bogdan Filipic (Inf. Sci., 2012)

The Continuous Differential Ant-Stigmergy Algorithm applied on real-parameter single objective optimization problems. - Peter Korosec; Jurij Silc (IEEE Congress on Evolutionary Computation, 2013)

The continuous differential ant-stigmergy algorithm for numerical optimization. - Peter Korosec; Jurij Silc (Comput. Optim. Appl., 2013)

A multi-objective approach to the application of real-world production scheduling. - Peter Korosec; Uros Bole; Gregor Papa (Expert Syst. Appl., 2013)

Differential evolution and differential ant-stigmergy on dynamic optimisation problems. - Janez Brest; Peter Korosec; Jurij Silc; Ales Zamuda; Borko Boskovic; Mirjam Sepesy Maucec (Int. J. Syst. Sci., 2013)

Multi-core implementation of the differential ant-stigmergy algorithm for numerical optimization. - Peter Korosec; Marián Vajtersic; Jurij Silc; Rade Kutil (J. Supercomput., 2013)

A GPU-Based Parallel-Agent Optimization Approach for the Service Coverage Problem in UMTS Networks. - Lucas Benedicic; Mitja Stular; Peter Korosec (Comput. Informatics, 2014)

A GRASS GIS parallel module for radio-propagation predictions. - Lucas Benedicic; Felipe A. Cruz; Tsuyoshi Hamada; Peter Korosec (Int. J. Geogr. Inf. Sci., 2014)

A Metaheuristic Approach for Propagation-Model Tuning in LTE Networks. - Lucas Benedièiè; Marko Pesko; Tomaz Javornik; Peter Korosec (Informatica (Slovenia), 2014)

Data Mining-Assisted Parameter Tuning of a Search Algorithm. - Jurij Silc; Katerina Taskova; Peter Korosec (Informatica (Slovenia), 2015)

Grammar and Dictionary based Named-entity Linking for Knowledge Extraction of Evidence-based Dietary Recommendations. - Tome Eftimov; Barbara Korousic-Seljak; Peter Korosec (KDIR, 2016)

Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology. - Gordana Ispirova; Tome Eftimov; Barbara Korousic-Seljak; Peter Korosec (KEOD, 2017)

The Behavior of Deep Statistical Comparison Approach for Different Criteria of Comparing Distributions. - Tome Eftimov; Peter Korosec; Barbara Korousic-Seljak (IJCCI, 2017)

Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms. - Tome Eftimov; Peter Korosec; Barbara Korousic-Seljak (MOD, 2017)

Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach. - Tome Eftimov; Peter Korosec; Barbara Korousic-Seljak (SSCI, 2017)

A Novel Approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics. - Tome Eftimov; Peter Korosec; Barbara Korousic-Seljak (Inf. Sci., 2017)

Data-Driven Preference-Based Deep Statistical Ranking for Comparing Multi-objective Optimization Algorithms. - Tome Eftimov; Peter Korosec; Barbara Korousic-Seljak (BIOMA, 2018)

The impact of statistics for benchmarking in evolutionary computation research. - Tome Eftimov; Peter Korosec (GECCO (Companion), 2018)

Deep statistical comparison of meta-heuristic stochastic optimization algorithms. - Tome Eftimov; Peter Korosec; Barbara Korousic-Seljak (GECCO (Companion), 2018)

Quisper Ontology Learning from Personalized Dietary Web Services. - Tome Eftimov; Gordana Ispirova; Paul Finglas; Peter Korosec; Barbara Korousic-Seljak (KEOD, 2018)

The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems. - Tome Eftimov; Gordana Ispirova; Peter Korosec; Barbara Korousic-Seljak (KDIR, 2018)

CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018. - Urban Skvorc; Tome Eftimov; Peter Korosec (CEC, 2019)

Understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis. - Tome Eftimov; Peter Korosec (GECCO (Companion), 2019)

GECCO black-box optimization competitions: progress from 2009 to 2018. - Urban Skvorc; Tome Eftimov; Peter Korosec (GECCO (Companion), 2019)

Identifying practical significance through statistical comparison of meta-heuristic stochastic optimization algorithms. - Tome Eftimov; Peter Korosec (Appl. Soft Comput., 2019)

A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space. - Tome Eftimov; Peter Korosec (Inf. Sci., 2019)

PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms. - Tome Eftimov; Rok Hribar; Urban Skvorc; Gorjan Popovski; Gasper Petelin; Peter Korosec (GECCO Companion, 2020)

Is the statistical significance between stochastic optimization algorithms' performances also significant in practice? - Tome Eftimov; Peter Korosec (GECCO Companion, 2020)

Statistical analyses for meta-heuristic stochastic optimization algorithms: GECCO 2020 tutorial. - Tome Eftimov; Peter Korosec (GECCO Companion, 2020)

Deep statistics: more robust performance statistics for single-objective optimization benchmarking. - Tome Eftimov; Gasper Petelin; Rok Hribar; Gorjan Popovski; Urban Skvorc; Peter Korosec (GECCO Companion, 2020)

Performance2vec: a step further in explainable stochastic optimization algorithm performance. - Tome Eftimov; Gorjan Popovski; Dragi Kocev; Peter Korosec (GECCO Companion, 2020)

Using exploratory landscape analysis to visualize single-objective problems. - Urban Skvorc; Tome Eftimov; Peter Korosec (GECCO Companion, 2020)

In-Depth Insights into Swarm Intelligence Algorithms Performance. - Eva Tuba; Peter Korosec; Tome Eftimov (MDIS, 2020)

Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. - Tome Eftimov; Gorjan Popovski; Quentin Renau; Peter Korosec; Carola Doerr (SSCI, 2020)

DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms. - Tome Eftimov; Gasper Petelin; Peter Korosec (Appl. Soft Comput., 2020)

Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis. - Urban Skvorc; Tome Eftimov; Peter Korosec (Appl. Soft Comput., 2020)

Synergy between parallel computing, optimization and simulation. - Nouredine Melab; Jan Gmys; Peter Korosec; Imen Chakroun (J. Comput. Sci., 2020)

The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis. - Urban Skvorc; Tome Eftimov; Peter Korosec (CEC, 2021)

Personalizing performance regression models to black-box optimization problems. - Tome Eftimov; Anja Jankovic 001; Gorjan Popovski; Carola Doerr; Peter Korosec (GECCO, 2021)

Robust benchmarking for multi-objective optimization. - Tome Eftimov; Peter Korosec (GECCO Companion, 2021)

Reducing bias in multi-objective optimization benchmarking. - Tome Eftimov; Peter Korosec (GECCO Companion, 2021)

Statistical analyses for meta-heuristic stochastic optimization algorithms. - Tome Eftimov; Peter Korosec (GECCO Companion, 2021)

A complementarity analysis of the COCO benchmark problems and artificially generated problems. - Urban Skvorc; Tome Eftimov; Peter Korosec (GECCO Companion, 2021)

Explainable Landscape-Aware Optimization Performance Prediction. - Risto Trajanov; Stefan Dimeski; Martin Popovski; Peter Korosec; Tome Eftimov (SSCI, 2021)

Preface. - Christian Blum 001; Tome Eftimov; Peter Korosec (Nat. Comput., 2021)

Deep Statistical Comparison for Multi-Objective Stochastic Optimization Algorithms. - Tome Eftimov; Peter Korosec (Swarm Evol. Comput., 2021)

Explaining Differential Evolution Performance Through Problem Landscape Characteristics. - Ana Nikolikj; Ryan Dieter Lang; Peter Korosec; Tome Eftimov (BIOMA, 2022)

Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction. - Ana Nikolikj; Risto Trajanov; Gjorgjina Cenikj; Peter Korosec; Tome Eftimov (CEC, 2022)

A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations. - Urban Skvorc; Tome Eftimov; Peter Korosec (CEC, 2022)

Explainable Landscape Analysis in Automated Algorithm Performance Prediction. - Risto Trajanov; Stefan Dimeski; Martin Popovski; Peter Korosec; Tome Eftimov (EvoApplications, 2022)

SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. - Gjorgjina Cenikj; Ryan Dieter Lang; Andries Petrus Engelbrecht; Carola Doerr; Peter Korosec; Tome Eftimov (GECCO, 2022)

Statistical analyses for multi-objective stochastic optimization algorithms: GECCO 2022 tutorial. - Tome Eftimov; Peter Korosec (GECCO Companion, 2022)

The importance of landscape features for performance prediction of modular CMA-ES variants. - Ana Kostovska; Diederick Vermetten; Saso Dzeroski; Carola Doerr; Peter Korosec; Tome Eftimov (GECCO, 2022)

CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources. - Gjorgjina Cenikj; Eva Valencic; Gordana Ispirova; Matevz Ogrinc; Riste Stojanov; Peter Korosec; Ermanno Cavalli; Barbara Korousic-Seljak; Tome Eftimov (Database J. Biol. Databases Curation, 2022)

Less is more: Selecting the right benchmarking set of data for time series classification. - Tome Eftimov; Gasper Petelin; Gjorgjina Cenikj; Ana Kostovska; Gordana Ispirova; Peter Korosec; Jasmin Bogatinovski (Expert Syst. Appl., 2022)

Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms - Tome Eftimov; Peter Korosec (Springer, 2022)

Linking Problem Landscape Features with the Performance of Individual CMA-ES Modules - Data. - Ana Kostovska; Diederick Vermetten; Saso Dzeroski; Carola Doerr; Peter Korosec; Tome Eftimov (Zenodo, 2022)

PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. - Ana Kostovska; Gjorgjina Cenikj; Diederick Vermetten; Anja Jankovic 001; Ana Nikolikj; Urban Skvorc; Peter Korosec; Carola Doerr; Tome Eftimov (AutoML, 2023)

Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction. - Ana Nikolikj; Michal Pluhacek; Carola Doerr; Peter Korosec; Tome Eftimov (CEC, 2023)

DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. - Gjorgjina Cenikj; Gasper Petelin; Carola Doerr; Peter Korosec; Tome Eftimov (GECCO, 2023)

Assessing the Generalizability of a Performance Predictive Model. - Ana Nikolikj; Gjorgjina Cenikj; Gordana Ispirova; Diederick Vermetten; Ryan Dieter Lang; Andries Petrus Engelbrecht; Carola Doerr; Peter Korosec; Tome Eftimov (GECCO Companion, 2023)

Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. - Ana Nikolikj; Saso Dzeroski; Mario Andrés Muñoz; Carola Doerr; Peter Korosec; Tome Eftimov (GECCO, 2023)

Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization. - Urban Skvorc; Tome Eftimov; Peter Korosec (SSCI, 2023)

Statistical Analyses for Single-objective Stochastic Optimization Algorithms. - Tome Eftimov; Peter Korosec (GECCO Companion, 2024)

Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization. - Peter Korosec; Tome Eftimov (GECCO Companion, 2024)

Opt2Vec - a continuous optimization problem representation based on the algorithm's behavior: A case study on problem classification. - Peter Korosec; Tome Eftimov (Inf. Sci., 2024)

Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization. - Tome Eftimov; Peter Korosec (GECCO, 2025)