Peter Korosec

Orcid: 0000-0003-4492-4603

According to our database1, Peter Korosec authored at least 94 papers between 2002 and 2023.

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Bibliography

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

Assessing the Generalizability of a Performance Predictive Model.
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

Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction.
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
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms
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

Explainable Landscape Analysis in Automated Algorithm Performance Prediction.
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
Deep Statistical Comparison for Multi-Objective Stochastic Optimization Algorithms.
Swarm Evol. Comput., 2021

Preface.
Nat. Comput., 2021

Explainable Landscape-Aware Optimization Performance Prediction.
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

Statistical analyses for meta-heuristic stochastic optimization algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Reducing bias in multi-objective optimization benchmarking.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Robust benchmarking for multi-objective optimization.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Personalizing performance regression models to black-box optimization problems.
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
Synergy between parallel computing, optimization and simulation.
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

Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

In-Depth Insights into Swarm Intelligence Algorithms Performance.
Proceedings of the Modelling and Development of Intelligent Systems, 2020

Using exploratory landscape analysis to visualize single-objective problems.
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

GECCO black-box optimization competitions: progress from 2009 to 2018.
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

CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018.
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

Quisper Ontology Learning from Personalized Dietary Web Services.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Deep statistical comparison of meta-heuristic stochastic optimization algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

The impact of statistics for benchmarking in evolutionary computation research.
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
Data Mining-Assisted Parameter Tuning of a Search Algorithm.
Informatica (Slovenia), 2015

2014
A Metaheuristic Approach for Propagation-Model Tuning in LTE Networks.
Informatica (Slovenia), 2014

A GRASS GIS parallel module for radio-propagation predictions.
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

A multi-objective approach to the application of real-world production scheduling.
Expert Syst. Appl., 2013

The continuous differential ant-stigmergy algorithm for numerical optimization.
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
The differential ant-stigmergy algorithm.
Inf. Sci., 2012

Guided restarting local search for production planning.
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

Balancing downlink and uplink soft-handover areas in UMTS networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A distributed multilevel ant-colony algorithm for the multi-way graph partitioning.
Int. J. Bio Inspired Comput., 2011

Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis.
BMC Syst. Biol., 2011

A Shared-Memory ACO-Based Algorithm for Numerical Optimization.
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

The differential Ant-Stigmergy Algorithm for large-scale global optimization.
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

A Distributed Multilevel Ant-Colony Approach for Finite Element Mesh Decomposition.
Proceedings of the Parallel Processing and Applied Mathematics, 2009

A distributed ant-based algorithm for numerical optimization.
Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems, 2009

A stigmergy-based algorithm for black-box optimization: noisy function testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

A stigmergy-based algorithm for black-box optimization: noiseless function testbed.
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

The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
A Distributed Multilevel Ant Colonies Approach.
Informatica (Slovenia), 2008

The distributed multilevel ant-stigmergy algorithm used at the electric-motor design.
Eng. Appl. Artif. Intell., 2008

Using Stigmergy to Solve Numerical Optimization Problems.
Comput. Informatics, 2008

The Differential Ant-Stigmergy Algorithm for Large Scale Real-Parameter Optimization.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

2007
A comparative study of stochastic optimization methods in electric motor design.
Appl. Intell., 2007

Optimizing the Shape of an Impeller Using the Differential Ant-Stigmergy Algorithm.
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
Ant Colonies and the Mesh-Partitioning Problem.
Proceedings of the Handbook of Bioinspired Algorithms and Applications., 2005

The Distributed Stigmergic Algorithm for Multi-parameter Optimization.
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

Solving the mesh-partitioning problem with an ant-colony algorithm.
Parallel Comput., 2004

Mesh-Partitioning with the Multiple Ant-Colony Algorithm.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004

2003
Combining Vector Quantization and Ant-Colony Algorithm for Mesh-Partitioning.
Proceedings of the Parallel Processing and Applied Mathematics, 2003

Mesh Partitioning: A Multilevel Ant-Colony-Optimization Algorithm.
Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003

2002
An Experimental Study of an Ant-colony Algorithm for the Mesh-partitioning Problem.
Scalable Comput. Pract. Exp., 2002


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