Peter Korosec - RankMe

115 papers A 8B 13C 3Misc 3Journal 46Unranked 38

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization. GECCO Tome Eftimov, Peter Korosec
2025	J	`jnl`	Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization. CoRR Tome Eftimov, Peter Korosec
2024	J	`jnl`	Opt2Vec - a continuous optimization problem representation based on the algorithm's behavior: A case study on problem classification. Inf. Sci. Peter Korosec, Tome Eftimov
2024	—	`conf`	Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization. GECCO Companion Peter Korosec, Tome Eftimov
2024	—	`conf`	Statistical Analyses for Single-objective Stochastic Optimization Algorithms. GECCO Companion Tome Eftimov, Peter Korosec
2023	A	`conf`	Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. GECCO Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. CoRR Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
2023	—	`conf`	Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization. SSCI Urban Skvorc, Tome Eftimov, Peter Korosec
2023	—	`conf`	Assessing the Generalizability of a Performance Predictive Model. GECCO Companion Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	Assessing the Generalizability of a Performance Predictive Model. CoRR Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
2023	A	`conf`	DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. GECCO Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. CoRR Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
2023	—	`conf`	PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. AutoML Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
2023	J	`jnl`	PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. CoRR Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
2023	B	`conf`	Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction. CEC Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction. CoRR Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov
2022	B	`conf`	A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations. CEC Urban Skvorc, Tome Eftimov, Peter Korosec
2022	J	`jnl`	CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources. Database J. Biol. Databases Curation Gjorgjina Cenikj, Eva Valencic, Gordana Ispirova, Matevz Ogrinc, Riste Stojanov, Peter Korosec, Ermanno Cavalli, Barbara Korousic-Seljak, Tome Eftimov
2022	—	`book`	Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms Tome Eftimov, Peter Korosec
2022	B	`conf`	Explainable Landscape Analysis in Automated Algorithm Performance Prediction. EvoApplications Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
2022	J	`jnl`	Explainable Landscape Analysis in Automated Algorithm Performance Prediction. CoRR Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
2022	—	`conf`	Explaining Differential Evolution Performance Through Problem Landscape Characteristics. BIOMA Ana Nikolikj, Ryan Dieter Lang, Peter Korosec, Tome Eftimov
2022	B	`conf`	Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction. CEC Ana Nikolikj, Risto Trajanov, Gjorgjina Cenikj, Peter Korosec, Tome Eftimov
2022	J	`jnl`	Less is more: Selecting the right benchmarking set of data for time series classification. Expert Syst. Appl. Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski
2022	J	`jnl`	Preface. Nat. Comput. Christian Blum, Tome Eftimov, Peter Korosec
2022	J	`jnl`	SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison. CoRR Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
2022	A	`conf`	SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. GECCO Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
2022	—	`conf`	Statistical analyses for multi-objective stochastic optimization algorithms: GECCO 2022 tutorial. GECCO Companion Tome Eftimov, Peter Korosec
2022	J	`jnl`	The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants. CoRR Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
2022	A	`conf`	The importance of landscape features for performance prediction of modular CMA-ES variants. GECCO Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
2021	J	`jnl`	A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems. CoRR Urban Skvorc, Tome Eftimov, Peter Korosec
2021	—	`conf`	A complementarity analysis of the COCO benchmark problems and artificially generated problems. GECCO Companion Urban Skvorc, Tome Eftimov, Peter Korosec
2021	J	`jnl`	Deep Statistical Comparison for Multi-Objective Stochastic Optimization Algorithms. Swarm Evol. Comput. Tome Eftimov, Peter Korosec
2021	—	`conf`	Explainable Landscape-Aware Optimization Performance Prediction. SSCI Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
2021	J	`jnl`	Explainable Landscape-Aware Optimization Performance Prediction. CoRR Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
2021	J	`jnl`	Personalizing Performance Regression Models to Black-Box Optimization Problems. CoRR Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec
2021	A	`conf`	Personalizing performance regression models to black-box optimization problems. GECCO Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec
2021	J	`jnl`	Preface. Nat. Comput. Christian Blum, Tome Eftimov, Peter Korosec
2021	—	`conf`	Reducing bias in multi-objective optimization benchmarking. GECCO Companion Tome Eftimov, Peter Korosec
2021	—	`conf`	Robust benchmarking for multi-objective optimization. GECCO Companion Tome Eftimov, Peter Korosec
2021	—	`conf`	Statistical analyses for meta-heuristic stochastic optimization algorithms. GECCO Companion Tome Eftimov, Peter Korosec
2021	B	`conf`	The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis. CEC Urban Skvorc, Tome Eftimov, Peter Korosec
2020	J	`jnl`	DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms. Appl. Soft Comput. Tome Eftimov, Gasper Petelin, Peter Korosec
2020	—	`conf`	Deep statistics: more robust performance statistics for single-objective optimization benchmarking. GECCO Companion Tome Eftimov, Gasper Petelin, Rok Hribar, Gorjan Popovski, Urban Skvorc, Peter Korosec
2020	—	`book`	High-Performance Simulation-Based Optimization Thomas Bartz-Beielstein, Bogdan Filipic, Peter Korosec, El-Ghazali Talbi
2020	—	`conf`	In-Depth Insights into Swarm Intelligence Algorithms Performance. MDIS Eva Tuba, Peter Korosec, Tome Eftimov
2020	—	`conf`	Is the statistical significance between stochastic optimization algorithms' performances also significant in practice? GECCO Companion Tome Eftimov, Peter Korosec
2020	—	`conf`	Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. SSCI Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr
2020	J	`jnl`	Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. CoRR Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr
2020	—	`conf`	PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms. GECCO Companion Tome Eftimov, Rok Hribar, Urban Skvorc, Gorjan Popovski, Gasper Petelin, Peter Korosec
2020	—	`conf`	Performance2vec: a step further in explainable stochastic optimization algorithm performance. GECCO Companion Tome Eftimov, Gorjan Popovski, Dragi Kocev, Peter Korosec
2020	—	`conf`	Statistical analyses for meta-heuristic stochastic optimization algorithms: GECCO 2020 tutorial. GECCO Companion Tome Eftimov, Peter Korosec
2020	J	`jnl`	Synergy between parallel computing, optimization and simulation. J. Comput. Sci. Nouredine Melab, Jan Gmys, Peter Korosec, Imen Chakroun
2020	J	`jnl`	Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis. Appl. Soft Comput. Urban Skvorc, Tome Eftimov, Peter Korosec
2020	—	`conf`	Using exploratory landscape analysis to visualize single-objective problems. GECCO Companion Urban Skvorc, Tome Eftimov, Peter Korosec
2019	J	`jnl`	A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space. Inf. Sci. Tome Eftimov, Peter Korosec
2019	B	`conf`	CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018. CEC Urban Skvorc, Tome Eftimov, Peter Korosec
2019	—	`conf`	GECCO black-box optimization competitions: progress from 2009 to 2018. GECCO (Companion) Urban Skvorc, Tome Eftimov, Peter Korosec
2019	J	`jnl`	Identifying practical significance through statistical comparison of meta-heuristic stochastic optimization algorithms. Appl. Soft Comput. Tome Eftimov, Peter Korosec
2019	—	`conf`	Understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis. GECCO (Companion) Tome Eftimov, Peter Korosec
2018	—	`ed.`	Bioinspired Optimization Methods and Their Applications - 8th International Conference, BIOMA 2018, Paris, France, May 16-18, 2018, Proceedings BIOMA Peter Korosec, Nouredine Melab, El-Ghazali Talbi
2018	—	`conf`	Data-Driven Preference-Based Deep Statistical Ranking for Comparing Multi-objective Optimization Algorithms. BIOMA Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
2018	—	`conf`	Deep statistical comparison of meta-heuristic stochastic optimization algorithms. GECCO (Companion) Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
2018	C	`conf`	Quisper Ontology Learning from Personalized Dietary Web Services. KEOD Tome Eftimov, Gordana Ispirova, Paul Finglas, Peter Korosec, Barbara Korousic-Seljak
2018	—	`conf`	The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems. KDIR Tome Eftimov, Gordana Ispirova, Peter Korosec, Barbara Korousic-Seljak
2018	—	`conf`	The impact of statistics for benchmarking in evolutionary computation research. GECCO (Companion) Tome Eftimov, Peter Korosec
2017	J	`jnl`	A Novel Approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics. Inf. Sci. Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
2017	—	`conf`	Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach. SSCI Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
2017	—	`conf`	Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms. MOD Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
2017	C	`conf`	Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology. KEOD Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec
2017	C	`conf`	The Behavior of Deep Statistical Comparison Approach for Different Criteria of Comparing Distributions. IJCCI Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
2016	—	`conf`	Grammar and Dictionary based Named-entity Linking for Knowledge Extraction of Evidence-based Dietary Recommendations. KDIR Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec
2015	J	`jnl`	Data Mining-Assisted Parameter Tuning of a Search Algorithm. Informatica (Slovenia) Jurij Silc, Katerina Taskova, Peter Korosec
2014	J	`jnl`	A GPU-Based Parallel-Agent Optimization Approach for the Service Coverage Problem in UMTS Networks. Comput. Informatics Lucas Benedicic, Mitja Stular, Peter Korosec
2014	J	`jnl`	A GRASS GIS parallel module for radio-propagation predictions. CoRR Lucas Benedicic, Felipe A. Cruz, Tsuyoshi Hamada, Peter Korosec
2014	J	`jnl`	A GRASS GIS parallel module for radio-propagation predictions. Int. J. Geogr. Inf. Sci. Lucas Benedicic, Felipe A. Cruz, Tsuyoshi Hamada, Peter Korosec
2014	J	`jnl`	A Metaheuristic Approach for Propagation-Model Tuning in LTE Networks. Informatica (Slovenia) Lucas Benedièiè, Marko Pesko, Tomaz Javornik, Peter Korosec
2013	J	`jnl`	A multi-objective approach to the application of real-world production scheduling. Expert Syst. Appl. Peter Korosec, Uros Bole, Gregor Papa
2013	J	`jnl`	Differential evolution and differential ant-stigmergy on dynamic optimisation problems. Int. J. Syst. Sci. Janez Brest, Peter Korosec, Jurij Silc, Ales Zamuda, Borko Boskovic, Mirjam Sepesy Maucec
2013	J	`jnl`	Multi-core implementation of the differential ant-stigmergy algorithm for numerical optimization. J. Supercomput. Peter Korosec, Marián Vajtersic, Jurij Silc, Rade Kutil
2013	B	`conf`	The Continuous Differential Ant-Stigmergy Algorithm applied on real-parameter single objective optimization problems. IEEE Congress on Evolutionary Computation Peter Korosec, Jurij Silc
2013	J	`jnl`	The continuous differential ant-stigmergy algorithm for numerical optimization. Comput. Optim. Appl. Peter Korosec, Jurij Silc
2012	B	`conf`	Balancing downlink and uplink soft-handover areas in UMTS networks. IEEE Congress on Evolutionary Computation Lucas Benedicic, Mitja Stular, Peter Korosec
2012	J	`jnl`	Guided restarting local search for production planning. Eng. Appl. Artif. Intell. Gregor Papa, Vida Vukasinovic, Peter Korosec
2012	B	`conf`	The continuous differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. IEEE Congress on Evolutionary Computation Peter Korosec, Jurij Silc
2012	J	`jnl`	The differential ant-stigmergy algorithm. Inf. Sci. Peter Korosec, Jurij Silc, Bogdan Filipic
2011	—	`conf`	A Shared-Memory ACO-Based Algorithm for Numerical Optimization. IPDPS Workshops Peter Korosec, Jurij Silc, Marián Vajtersic, Rade Kutil
2011	J	`jnl`	A distributed multilevel ant-colony algorithm for the multi-way graph partitioning. Int. J. Bio Inspired Comput. Katerina Tashkova, Peter Korosec, Jurij Silc
2011	J	`jnl`	Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis. BMC Syst. Biol. Katerina Tashkova, Peter Korosec, Jurij Silc, Ljupco Todorovski, Saso Dzeroski
2011	B	`conf`	The Continuous Differential Ant-Stigmergy Algorithm applied to real-world optimization problems. IEEE Congress on Evolutionary Computation Peter Korosec, Jurij Silc
2010	—	`conf`	Hybrid Parameter-less Evolutionary Algorithm in Production Planning. IJCCI (ICEC) Vida Vukasinovic, Peter Korosec, Gregor Papa
2010	B	`conf`	The differential Ant-Stigmergy Algorithm for large-scale global optimization. IEEE Congress on Evolutionary Computation Peter Korosec, Katerina Tashkova, Jurij Silc
2009	—	`conf`	A Distributed Multilevel Ant-Colony Approach for Finite Element Mesh Decomposition. PPAM (2) Katerina Tashkova, Peter Korosec, Jurij Silc
2009	—	`conf`	A Stigmergy-Based Algorithm for Continuous Optimization Tested on Real-Life-Like Environment. EvoWorkshops Peter Korosec, Jurij Silc
2009	—	`conf`	A distributed ant-based algorithm for numerical optimization. BADS@ICAC Peter Korosec, Jurij Silc
2009	—	`conf`	A stigmergy-based algorithm for black-box optimization: noiseless function testbed. GECCO (Companion) Peter Korosec, Jurij Silc
2009	—	`conf`	A stigmergy-based algorithm for black-box optimization: noisy function testbed. GECCO (Companion) Peter Korosec, Jurij Silc
2009	J	`jnl`	High-dimensional real-parameter optimization using the differential ant-stigmergy algorithm. Int. J. Intell. Comput. Cybern. Peter Korosec, Jurij Silc
2009	B	`conf`	The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. IEEE Congress on Evolutionary Computation Peter Korosec, Jurij Silc
2008	J	`jnl`	A Distributed Multilevel Ant Colonies Approach. Informatica (Slovenia) Katerina Tashkova, Peter Korosec, Jurij Silc
2008	—	`conf`	The Differential Ant-Stigmergy Algorithm for Large Scale Real-Parameter Optimization. ANTS Conference Peter Korosec, Jurij Silc
2008	J	`jnl`	The distributed multilevel ant-stigmergy algorithm used at the electric-motor design. Eng. Appl. Artif. Intell. Peter Korosec, Jurij Silc
2008	J	`jnl`	Using Stigmergy to Solve Numerical Optimization Problems. Comput. Informatics Peter Korosec, Jurij Silc
2007	J	`jnl`	A comparative study of stochastic optimization methods in electric motor design. Appl. Intell. Tea Tusar, Peter Korosec, Gregor Papa, Bogdan Filipic, Jurij Silc
2007	Misc	`conf`	Optimizing the Shape of an Impeller Using the Differential Ant-Stigmergy Algorithm. PPAM Peter Korosec, Jurij Silc, Klemen Oblak, Franc Kosel
2007	B	`conf`	The differential ant-stigmergy algorithm: an experimental evaluation and a real-world application. IEEE Congress on Evolutionary Computation Peter Korosec, Jurij Silc, Klemen Oblak, Franc Kosel
2006	A	`conf`	Ant stigmergy on the grid: optimizing the cooling process in continuous steel casting. IPDPS Peter Korosec, Jurij Silc, Bogdan Filipic, Erkki Laitinen
2005	—	`ch.`	Ant Colonies and the Mesh-Partitioning Problem. Handbook of Bioinspired Algorithms and Applications Jurij Silc, Peter Korosec, Borut Robic
2005	Misc	`conf`	The Distributed Stigmergic Algorithm for Multi-parameter Optimization. PPAM Jurij Silc, Peter Korosec
2004	J	`jnl`	"Solving the mesh-partitioning problem with an ant-colony algorithm" [Parallel Computing 30 (2004) 785-801]. Parallel Comput. Peter Korosec, Jurij Silc, Borut Robic
2004	—	`conf`	Mesh-Partitioning with the Multiple Ant-Colony Algorithm. ANTS Workshop Peter Korosec, Jurij Silc, Borut Robic
2004	J	`jnl`	Solving the mesh-partitioning problem with an ant-colony algorithm. Parallel Comput. Peter Korosec, Jurij Silc, Borut Robic
2003	Misc	`conf`	Combining Vector Quantization and Ant-Colony Algorithm for Mesh-Partitioning. PPAM Jurij Silc, Peter Korosec, Borut Robic
2003	A	`conf`	Mesh Partitioning: A Multilevel Ant-Colony-Optimization Algorithm. IPDPS Peter Korosec, Jurij Silc, Borut Robic
2002	J	`jnl`	An Experimental Study of an Ant-colony Algorithm for the Mesh-partitioning Problem. Parallel Distributed Comput. Pract. Peter Korosec, Jurij Silc, Borut Robic