Peter Korosec
Orcid: 0000-0003-4492-4603
According to our database1,
Peter Korosec
authored at least 98 papers
between 2002 and 2024.
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Bibliography
2024
Opt2Vec - a continuous optimization problem representation based on the algorithm's behavior: A case study on problem classification.
Inf. Sci., 2024
Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
2023
Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization.
Proceedings of the International Conference on Automated Machine Learning, 2023
2022
Linking Problem Landscape Features with the Performance of Individual CMA-ES Modules - Data.
Dataset, February, 2022
Natural Computing Series, Springer, ISBN: 978-3-030-96916-5, 2022
Less is more: Selecting the right benchmarking set of data for time series classification.
Expert Syst. Appl., 2022
CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources.
Database J. Biol. Databases Curation, 2022
The importance of landscape features for performance prediction of modular CMA-ES variants.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Statistical analyses for multi-objective stochastic optimization algorithms: GECCO 2022 tutorial.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022
A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Explaining Differential Evolution Performance Through Problem Landscape Characteristics.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2022
2021
Swarm Evol. Comput., 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
A complementarity analysis of the COCO benchmark problems and artificially generated problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
J. Comput. Sci., 2020
Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis.
Appl. Soft Comput., 2020
DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms.
Appl. Soft Comput., 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the Modelling and Development of Intelligent Systems, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Performance2vec: a step further in explainable stochastic optimization algorithm performance.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Deep statistics: more robust performance statistics for single-objective optimization benchmarking.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Statistical analyses for meta-heuristic stochastic optimization algorithms: GECCO 2020 tutorial.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Is the statistical significance between stochastic optimization algorithms' performances also significant in practice?
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space.
Inf. Sci., 2019
Identifying practical significance through statistical comparison of meta-heuristic stochastic optimization algorithms.
Appl. Soft Comput., 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Data-Driven Preference-Based Deep Statistical Ranking for Comparing Multi-objective Optimization Algorithms.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018
2017
A Novel Approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics.
Inf. Sci., 2017
Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017
The Behavior of Deep Statistical Comparison Approach for Different Criteria of Comparing Distributions.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017
Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017
2016
Grammar and Dictionary based Named-entity Linking for Knowledge Extraction of Evidence-based Dietary Recommendations.
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016
2015
Informatica (Slovenia), 2015
2014
Informatica (Slovenia), 2014
Int. J. Geogr. Inf. Sci., 2014
A GPU-Based Parallel-Agent Optimization Approach for the Service Coverage Problem in UMTS Networks.
Comput. Informatics, 2014
2013
Multi-core implementation of the differential ant-stigmergy algorithm for numerical optimization.
J. Supercomput., 2013
Differential evolution and differential ant-stigmergy on dynamic optimisation problems.
Int. J. Syst. Sci., 2013
Expert Syst. Appl., 2013
Comput. Optim. Appl., 2013
The Continuous Differential Ant-Stigmergy Algorithm applied on real-parameter single objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Eng. Appl. Artif. Intell., 2012
The continuous differential Ant-Stigmergy Algorithm applied to dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Int. J. Bio Inspired Comput., 2011
Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis.
BMC Syst. Biol., 2011
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011
The Continuous Differential Ant-Stigmergy Algorithm applied to real-world optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Hybrid Parameter-less Evolutionary Algorithm in Production Planning.
Proceedings of the ICEC 2010 - Proceedings of the International Conference on Evolutionary Computation, [part of the International Joint Conference on Computational Intelligence IJCCI 2010], Valencia, Spain, October 24, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
High-dimensional real-parameter optimization using the differential ant-stigmergy algorithm.
Int. J. Intell. Comput. Cybern., 2009
Proceedings of the Parallel Processing and Applied Mathematics, 2009
Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
A Stigmergy-Based Algorithm for Continuous Optimization Tested on Real-Life-Like Environment.
Proceedings of the Applications of Evolutionary Computing, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
The distributed multilevel ant-stigmergy algorithm used at the electric-motor design.
Eng. Appl. Artif. Intell., 2008
The Differential Ant-Stigmergy Algorithm for Large Scale Real-Parameter Optimization.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008
2007
Appl. Intell., 2007
Proceedings of the Parallel Processing and Applied Mathematics, 2007
The differential ant-stigmergy algorithm: an experimental evaluation and a real-world application.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Ant stigmergy on the grid: optimizing the cooling process in continuous steel casting.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006
2005
Proceedings of the Handbook of Bioinspired Algorithms and Applications., 2005
Proceedings of the Parallel Processing and Applied Mathematics, 2005
2004
"Solving the mesh-partitioning problem with an ant-colony algorithm" [Parallel Computing 30 (2004) 785-801].
Parallel Comput., 2004
Parallel Comput., 2004
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004
2003
Proceedings of the Parallel Processing and Applied Mathematics, 2003
Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003
2002
Parallel Distributed Comput. Pract., 2002