| 2026 | GECCO | Construct, Merge, Solve & Adapt with Reinforcement Learning for the min-max Multiple Traveling Salesman Problem. | Guillem Rodrguez Corominas, Maria J. Blesa, Christian Blum |
| 2025 | AIAI | Tight Bounds for an Accelerated k-means++ Algorithm. | Guillem Rodrguez Corominas, Maria J. Blesa, Christian Blum |
| 2025 | ECAI | A Hybrid CMSA-Column Generation Approach to Variable-Sized Bin Packing. | Mehmet Anil Akbay, Christian Blum, Gnther R. Raidl |
| 2025 | ECAI | Improving the CMSA Algorithm with Online Deep Learning. | Jaume Reixach, Christian Blum |
| 2025 | FedCSIS | Optimizing the Optimizer: An Example Showing the Power of LLM Code Generation. | Camilo Chacn Sartori, Christian Blum |
| 2025 | GECCO | Application of PBIG to the Minimum Global Domination Problem. | Salim Bouamama, Christian Blum |
| 2024 | EvoCOP | A Neural Network Based Guidance for a BRKGA: An Application to the Longest Common Square Subsequence Problem. | Jaume Reixach, Christian Blum, Marko Djukanovic, Gnther R. Raidl |
| 2024 | GECCO | The Electric Vehicle Problem with Road Junctions and Road Types: An Ant Colony Optimization Approach. | Mehmet Anil Akbay, Christian Blum, Michella Saliba |
| 2024 | GECCO | An Extension of STNWeb Functionality: On the Use of Hierarchical Agglomerative Clustering as an Advanced Search Space Partitioning Strategy. | Camilo Chacn Sartori, Christian Blum, Gabriela Ochoa |
| 2024 | GECCO | Large Language Models for the Automated Analysis of Optimization Algorithms. | Camilo Chacn Sartori, Christian Blum, Gabriela Ochoa |
| 2024 | ICCS | Efficient Search Algorithms for the Restricted Longest Common Subsequence Problem. | Marko Djukanovic, Aleksandar Kartelj, Tome Eftimov, Jaume Reixach, Christian Blum |
| 2023 | GECCO | Q-Learning Ant Colony Optimization supported by Deep Learning for Target Set Selection. | Jairo Enrique Ramrez Snchez, Camilo Chacn Sartori, Christian Blum |
| 2023 | ICASSP | Saliency-Driven Hierarchical Learned Image Coding for Machines. | Kristian Fischer, Fabian Brand, Christian Blum, Andr Kaup |
| 2022 | FedCSIS | Boosting a Genetic Algorithm with Graph Neural Networks for Multi-Hop Influence Maximization in Social Networks. | Camilo Chacn Sartori, Christian Blum |
| 2022 | GECCO | Negative learning Ant colony optimization for network alignment. | Guillem Rodrguez Corominas, Christian Blum, Maria J. Blesa |
| 2022 | GECCO | A biased random key genetic algorithm applied to target set selection in viral marketing. | Albert Lpez Serrano, Christian Blum |
| 2021 | GECCO | Negative learning ant colony optimization for the minimum positive influence dominating set problem. | Albert Lpez Serrano, Teddy Nurcahyadi, Salim Bouamama, Christian Blum |
| 2021 | ISCAS | Robust Deep Neural Object Detection and Segmentation for Automotive Driving Scenario with Compressed Image Data. | Kristian Fischer, Christian Blum, Christian Herglotz, Andr Kaup |
| 2020 | IJCAI | NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating Set. | Bohan Li, Xindi Zhang, Shaowei Cai, Jinkun Lin, Yiyuan Wang, Christian Blum |
| 2019 | GECCO | Route planning for cooperative air-ground robots with fuel constraints: an approach based on CMSA. | Divansh Arora, Parikshit Maini, Pedro Pinacho Davidson, Christian Blum |
| 2019 | GECCO | A biased random key genetic algorithm for the weighted independent domination problem. | Guillem Rodrguez Corominas, Christian Blum, Maria J. Blesa |
| 2019 | GECCO | Application of CMSA to the minimum capacitated dominating set problem. | Pedro Pinacho Davidson, Salim Bouamama, Christian Blum |
| 2018 | PRIMA | Heterogeneous Teams for Homogeneous Performance. | Ewa Andrejczuk, Filippo Bistaffa, Christian Blum, Juan A. Rodrguez-Aguilar, Carles Sierra |
| 2017 | CEC | A hybrid evolutionary algorithm based on solution merging for the longest arc-preserving common subsequence problem. | Christian Blum, Maria J. Blesa |
| 2016 | GECCO | Extension of the CMSA Algorithm: An LP-based Way for Reducing Sub-instances. | Christian Blum, Jordi Pereira |
| 2016 | PPSN | The Workshops at PPSN 2016. | Christian Blum, Christine Zarges |
| 2016 | RoboCup | Simulation Based Selection of Actions for a Humanoid Soccer-Robot. | Heinrich Mellmann, Benjamin Schlotter, Christian Blum |
| 2015 | INISTA | On solving the most strings with few bad columns problem: An ILP model and heuristics. | Evelia Lizrraga, Maria J. Blesa, Christian Blum, Gnther R. Raidl |
| 2014 | HRI | Intuitive control of small flying robots. | Christian Blum, Oswald Berthold, Philipp Rhan, Verena V. Hafner |
| 2013 | ICCS | Solving the 2D Bin Packing Problem by Means of a Hybrid Evolutionary Algorithm. | Christian Blum, Verena Schmid |
| 2012 | PPSN | An Artificial Bee Colony Algorithm for the Unrelated Parallel Machines Scheduling Problem. | Francisco J. Rodrguez, Carlos Garca-Martnez, Christian Blum, Manuel Lozano |
| 2011 | GECCO | Ant colony optimization. | Christian Blum |
| 2011 | GECCO | Implementing a model of Japanese tree frogs' calling behavior in sensor networks: a study of possible improvements. | Hugo Hernndez, Christian Blum |
| 2010 | CEC | Beam-ACO for the longest common subsequence problem. | Christian Blum |
| 2010 | MICCAI | Reconstructing Geometrically Consistent Tree Structures from Noisy Images. | Engin Tretken, Christian Blum, Germn Gonzlez, Pascal Fua |
| 2009 | GECCO | Ant colony optimization. | Christian Blum |
| 2009 | GECCO | Self-synchronized duty-cycling in sensor networks with energy harvesting capabilities: the static network case. | Hugo Hernndez, Christian Blum |
| 2009 | IWANN | Tabu Search for the Founder Sequence Reconstruction Problem: A Preliminary Study. | Andrea Roli, Christian Blum |
| 2007 | GECCO | ACO vs EAs for solving a real-world frequency assignment problem in GSM networks. | Francisco Luna, Christian Blum, Enrique Alba, Antonio J. Nebro |
| 2007 | HIS | Ant Colony Optimization: Introduction and Hybridizations. | Christian Blum |
| 2006 | GECCO | A new hybrid evolutionary algorithm for the huge | Christian Blum |
| 2006 | WABI | New Constructive Heuristics for DNA Sequencing by Hybridization. | Christian Blum, Mateu Ybar Valls |
| 2005 | HIS | Training feed-forward neural networks with ant colony optimization: An application to pattern classification. | Christian Blum, Krzysztof Socha |
| 2005 | IWANN | Combining Ant Colony Optimization with Dynamic Programming for Solving the k-Cardinality Tree Problem. | Christian Blum, Maria J. Blesa |
| 2002 | CEC | Ant colony optimization for FOP shop scheduling: a case study on different pheromone representations. | Christian Blum, Michael Sampels |
| 2002 | GECCO | Ant Colony Optimization For The Edge-weighted k-cardinality Tree Problem. | Christian Blum |
| 2002 | GECCO | On A Particularity In Model-based Search. | Christian Blum, Michael Sampels, Mark Zlochin |
| 2002 | PPSN | When Model Bias Is Stronger than Selection Pressure. | Christian Blum, Michael Sampels |
| 2002 | PPSN | Metaheuristics for Group Shop Scheduling. | Michael Sampels, Christian Blum, Monaldo Mastrolilli, Olivia Rossi-Doria |
| 1997 | AIME | Diagnosis and Monitoring of Ulnar Nerve Lesions. | Jrgen Rahmel, Christian Blum, Peter Hahn, Bjrn Krapohl |
| 1997 | IJCAI | On the Role of Hierarchy for Neural Network Interpretation. | Jrgen Rahmel, Christian Blum, Peter Hahn |
| 1997 | IWANN | Interpretation of a Hierarchical Neural Network. | Jrgen Rahmel, Christian Blum, Peter Hahn |