Peter Korošec
Journal articlesshow all
Beyond Landscape Analysis: DynamoRep Features For Capturing Algorithm-Problem Interaction In Single-Objective Continuous Optimization Evolutionary Computation, ECJ (2025)Using Machine Learning Methods to Assess Module Performance Contribution in Modular Optimization Frameworks, ECJ (2024)
Opt2Vec - A continuous optimization problem representation based on the algorithm: a case study on problem classification, INFORM SCIENCES (2024)
Conference papersshow all
Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization, GECCO 2025Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization, GECCO 2024
Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization, IEEE SSCI 2023
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization, AutoML 2023
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction, IEEE CEC 2023
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems, GECCO 2023
Assessing the Generalizability of a Performance Predictive Model, GECCO 2023
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances, GECCO 2023
Books & Chaptersshow recent
Reliability Improvements for In-Wheel Motor, Recent Advances in Microelectronics Reliability, Springer (2024)Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms, Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms, Springer Cham (2022)
Multilevel optimisation, Optimization Under Uncertainty with Applications to Aerospace Engineering, Springer (2021)
Comparison of multi-objective approaches to the real-world production scheduling, Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences, Springer (2019)
Data-driven Preference-based Deep Statistical Ranking for Comparing Multi-Objective Optimization Algorithms, Bioinspired Optimization Methods and Their Applications. BIOMA 2018. Lecture Notes in Computer Science, Springer LNCS 10835 (2018)
Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms, International Workshop on Machine Learning, Optimization, and Big Data, Springer LNCS 10710 (2017)
Applications of the Differential Ant-Stigmergy Algorithm on Real-World Continuous Optimization Problems, Evolutionary Computation, InTech (2009)
Ant colonies and the mesh-partitioning problem, Handbook of Bioinspired Algorithms and Applications, Chapman & Hall/CRC (2006)
Other publicationsshow recent
How to Perform a Proper Statistical Study Analysis? Where we Started and Where are we Now in Statistical Performance Assessment Approaches for Stochastic Optimization Algorithms? (2018)Stigmergy as an approach to metaheuristic optimization (2006)
Metaheuristic solving of the optimization problem with ant colonies (2004)
Evaluation of heuristic partitioning algorithms (2001)