| 2026 | GECCO | Benchmarking Evolutionary and Machine Learning Algorithms: The SIREN Challenge of Emergency Medical Services. | Torjus mellem Kallekleiv, Xavier F. C. Snchez-Daz, Ole Jakob Mengshoel |
| 2025 | COLING | Cross-Lingual Sentence Compression for Length-Constrained Subtitles in Low-Resource Settings. | Tollef Emil Jrgensen, Ole Jakob Mengshoel |
| 2025 | EvoCOP | Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning. | Corentin Masson, Xavier F. C. Snchez-Daz, Ole Jakob Mengshoel |
| 2025 | GECCO | Evolutionary Adaptive Stress Testing for Collision Avoidance in Sustainable Maritime Transportation. | Thomas Steenfeldt Laursen, Ole Jakob Mengshoel |
| 2025 | GECCO | Empirical Studies of Multimodality in Feature Selection: Generalized Crowding for Genetic Algorithms. | Corentin Masson, Ole Jakob Mengshoel, Xavier F. C. Snchez-Daz |
| 2024 | GECCO | Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles. | Xavier F. C. Snchez-Daz, Ole Jakob Mengshoel |
| 2024 | PPSN | Regularized Feature Selection Landscapes: An Empirical Study of Multimodality. | Xavier F. C. Snchez-Daz, Corentin Masson, Ole Jakob Mengshoel |
| 2023 | ECAI | Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections. | Eirik Lund Flogard, Ole Jakob Mengshoel, Ole Magnus Theisen, Kerstin Bach |
| 2023 | GECCO | Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization. | Ole Jakob Mengshoel, Xavier F. C. Snchez-Daz, Fredrik Foss |
| 2023 | GECCO | Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study. | Magnus Eide Schjlberg, Nicklas Paus Bekkevold, Xavier F. C. Snchez-Daz, Ole Jakob Mengshoel |
| 2022 | GECCO | Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search. | Ole Jakob Mengshoel, Eirik Lund Flogard, Tong Yu, Jon Riege |
| 2022 | IJCAI | Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. | Eirik Lund Flogard, Ole Jakob Mengshoel, Kerstin Bach |
| 2021 | GECCO | A multi-objective genetic algorithm for jacket optimization. | Jan Burak, Ole Jakob Mengshoel |
| 2021 | GECCO | A multimethod approach to multimodal function optimization. | Fredrik Foss, Ole Jakob Mengshoel |
| 2021 | GECCO | Stochastic local search for efficient hybrid feature selection. | Ole Jakob Mengshoel, Tong Yu, Jon Riege, Eirik Flogard |
| 2021 | GECCO | Novelty search for evolving interesting character mechanics for a two-player video game. | Eirik Hgdahl Skjrseth, Harald Vinje, Ole Jakob Mengshoel |
| 2021 | ICCBR | Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. | Eirik Flogard, Ole Jakob Mengshoel, Kerstin Bach |
| 2020 | ECAI | Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa. | Ole Jakob Mengshoel, Tong Yu, Ming Zeng |