| 2026 | GECCO | Constructing Streams of Optimization Instances for Benchmarking Algorithm Selection and Configuration Approaches in Streaming Scenarios. | Margherita Battistotti, Manuel Lpez-Ibez, Kate Smith-Miles, Julia Handl, Mario Andrs Muoz |
| 2026 | GECCO | Approximating the Hypervolume Indicator using Fast Quasi-Random Low-Discrepancy Sequences. | Manuel Lpez-Ibez |
| 2026 | GECCO | Accelerating LLM-Based Algorithm Evolution for the 3D Container Loading Problem. | Guorui Quan, Mingfei Sun, Manuel Lpez-Ibez, Nicols lvarez-Gil, Silvino Fernndez Alzueta |
| 2026 | GECCO | An Efficient Hybrid Racing Method for Portfolio Configuration. | Anthony Rasulo, Manuel Lpez-Ibez, Julia Handl, Mario Andrs Muoz, Kate Smith-Miles |
| 2026 | GECCO | Advanced Use of Automatic Algorithm Configuration: Single- and Multi-Objective Approaches. | Jeroen Rook, Manuel Lpez-Ibez |
| 2025 | CEC | Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks. | Shuaiqun Pan, Diederick Vermetten, Manuel Lpez-Ibez, Thomas Bck, Hao Wang |
| 2025 | EMO | MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler. | Diederick Vermetten, Jeroen Rook, Oliver Ludger Preu, Jacob de Nobel, Carola Doerr, Manuel Lpez-Ibez, Heike Trautmann, Thomas Bck |
| 2025 | GECCO | Analyzing Single-objective Black-box Optimization Algorithms Using the Empirical Attainment Function. | Manuel Lpez-Ibez, Diederick Vermetten, Johann Dro, Carola Doerr |
| 2025 | GECCO | Empirical Complexity Analysis of Optimization Algorithms. | Ral Martn-Santamara, Manuel Lpez-Ibez, J. Manuel Colmenar |
| 2025 | GECCO | Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations. | Shuaiqun Pan, Diederick Vermetten, Manuel Lpez-Ibez, Thomas Bck, Hao Wang |
| 2025 | GECCO | School Bus Routing for Pupils with Special Needs Under Uncertainty: An Averaging Approach. | Ozioma Paul, Julia Handl, Manuel Lpez-Ibez |
| 2025 | GECCO | Advanced Use of Automatic Algorithm Configuration: Single- and Multi-Objective Approaches. | Jeroen Rook, Manuel Lpez-Ibez |
| 2024 | GECCO | Transfer Learning of Surrogate Models via Domain Affine Transformation. | Shuaiqun Pan, Diederick Vermetten, Manuel Lpez-Ibez, Thomas Bck, Hao Wang |
| 2024 | GECCO | Bayesian Optimization with Setup Switching Cost. | Stefan Pricopie, Richard Allmendinger, Manuel Lpez-Ibez, Clyde Fare, Matt Benatan, Joshua D. Knowles |
| 2024 | GECCO | Extending Instance Space Analysis to Algorithm Configuration Spaces. | Anthony Rasulo, Kate Smith-Miles, Mario A. Muoz, Julia Handl, Manuel Lpez-Ibez |
| 2024 | PPSN | An Adaptive Approach to Bayesian Optimization with Setup Switching Costs. | Stefan Pricopie, Richard Allmendinger, Manuel Lpez-Ibez, Clyde Fare, Matt Benatan, Joshua D. Knowles |
| 2024 | SYNASC | Counter-Factual Hidden Event Detection: A Proof of Concept Using Machine Learning in Time Series. | Carlos Cano Domingo, Manuel Lpez-Ibez, Ruxandra Stoean, Manuel Soler-Ortiz |
| 2023 | EMO | An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. | Seyed Mahdi Shavarani, Manuel Lpez-Ibez, Richard Allmendinger, Joshua D. Knowles |
| 2023 | GECCO | Applying Ising Machines to Multi-objective QUBOs. | Mayowa Ayodele, Richard Allmendinger, Manuel Lpez-Ibez, Arnaud Liefooghe, Matthieu Parizy |
| 2023 | GECCO | Automated Algorithm Configuration and Design. | Leslie Prez Cceres, Manuel Lpez-Ibez, Thomas Sttzle |
| 2023 | GECCO | Optimization Challenges at the European Space Agency. | Dario Izzo, Manuel Lpez-Ibez |
| 2023 | GECCO | Many-objective (Combinatorial) Optimization is Easy. | Arnaud Liefooghe, Manuel Lpez-Ibez |
| 2023 | GECCO | Capacitated School Bus Routing Problem with Time Windows, Heterogeneous Fleets and Travel Assistants. | Ozioma Paul, Julia Handl, Manuel Lpez-Ibez |
| 2023 | GECCO | Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. | Diederick Vermetten, Manuel Lpez-Ibez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova |
| 2023 | GECCO | Algorithm Configuration via Continuously Racing: Preliminary Results. | Yunshuang Xiao, Leslie Prez Cceres, Manuel Lpez-Ibez, Thomas Sttzle |
| 2022 | CIBCB | Composite Facility Location Problems: A Case Study of Personalised Medicine. | Andreea Avramescu, Richard Allmendinger, Manuel Lpez-Ibez, Adriana G. Lopes |
| 2022 | GECCO | Multi-objective QUBO solver: bi-objective quadratic assignment problem. | Mayowa Ayodele, Richard Allmendinger, Manuel Lpez-Ibez, Matthieu Parizy |
| 2022 | GECCO | Optimization challenges at the european space agency. | Dario Izzo, Manuel Lpez-Ibez |
| 2022 | GECCO | Are evolutionary algorithms safe optimizers? | Youngmin Kim, Richard Allmendinger, Manuel Lpez-Ibez |
| 2022 | GECCO | Expensive optimization with production-graph resource constraints: a first look at a new problem class. | Stefan Pricopie, Richard Allmendinger, Manuel Lpez-Ibez, Clyde Fare, Matt Benatan, Joshua D. Knowles |
| 2022 | GECCO | Efficient configuration of optimization algorithms. | Marcelo de Souza, Marcus Ritt, Manuel Lpez-Ibez |
| 2022 | GECCO | Automated algorithm configuration and design. | Thomas Sttzle, Manuel Lpez-Ibez, Leslie Prez Cceres |
| 2022 | GECCO | Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms. | Diederick Vermetten, Hao Wang, Manuel Lpez-Ibez, Carola Doerr, Thomas Bck |
| 2022 | PPSN | Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. | Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel Lpez-Ibez, Carola Doerr |
| 2021 | GECCO | Interactive parameter tuning of bi-objective optimisation algorithms using the empirical attainment function. | Manuel Lpez-Ibez, Juan Esteban Diaz |
| 2021 | GECCO | Maximising hypervolume and minimising ϵ-indicators using Bayesian optimisation over sets. | Tinkle Chugh, Manuel Lpez-Ibez |
| 2021 | GECCO | Unbalanced mallows models for optimizing expensive black-box permutation problems. | Ekhine Irurozki, Manuel Lpez-Ibez |
| 2021 | GECCO | Replicability and reproducibility in evolutionary optimization. | Lus Paquete, Manuel Lpez-Ibez |
| 2021 | GECCO | Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms. | Seyed Mahdi Shavarani, Manuel Lpez-Ibez, Joshua D. Knowles |
| 2021 | GECCO | Automated algorithm configuration and design. | Thomas Sttzle, Manuel Lpez-Ibez |
| 2020 | GECCO | Automated algorithm configuration and design. | Manuel Lpez-Ibez, Thomas Sttzle |
| 2019 | EMO | On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization. | Atanu Mazumdar, Tinkle Chugh, Kaisa Miettinen, Manuel Lpez-Ibez |
| 2019 | GECCO | Archiver effects on the performance of state-of-the-art multi- and many-objective evolutionary algorithms. | Leonardo C. T. Bezerra, Manuel Lpez-Ibez, Thomas Sttzle |
| 2019 | GECCO | Automatic configuration of NSGA-II with jMetal and irace. | Antonio J. Nebro, Manuel Lpez-Ibez, Cristbal Barba-Gonzlez, Jos Garca-Nieto |
| 2019 | GECCO | Automatic surrogate modelling technique selection based on features of optimization problems. | Bhupinder Singh Saini, Manuel Lpez-Ibez, Kaisa Miettinen |
| 2019 | GECCO | Deep reinforcement learning based parameter control in differential evolution. | Mudita Sharma, Alexandros Komninos, Manuel Lpez-Ibez, Dimitar Kazakov |
| 2018 | GECCO | Automated offline design of algorithms. | Manuel Lpez-Ibez, Thomas Sttzle |
| 2018 | GECCO | Dominance, epsilon, and hypervolume local optimal sets in multi-objective optimization, and how to tell the difference. | Arnaud Liefooghe, Manuel Lpez-Ibez, Lus Paquete, Sbastien Vrel |
| 2018 | PPSN | New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop. | Aymeric Blot, Manuel Lpez-Ibez, Marie-Elonore Kessaci, Laetitia Jourdan |
| 2018 | PPSN | On Pareto Local Optimal Solutions Networks. | Arnaud Liefooghe, Bilel Derbel, Sbastien Vrel, Manuel Lpez-Ibez, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2018 | PPSN | Performance Assessment of Recursive Probability Matching for Adaptive Operator Selection in Differential Evolution. | Mudita Sharma, Manuel Lpez-Ibez, Dimitar Kazakov |
| 2017 | EMO | An Empirical Assessment of the Properties of Inverted Generational Distance on Multi- and Many-Objective Optimization. | Leonardo C. T. Bezerra, Manuel Lpez-Ibez, Thomas Sttzle |
| 2017 | GECCO | Automated offline design of algorithms. | Manuel Lpez-Ibez, Thomas Sttzle |
| 2016 | GECCO | ECADA 2016 Chairs' Welcome. | Manuel Lpez-Ibez, Daniel R. Tauritz, John R. Woodward |
| 2016 | GECCO | Automatic (Offline) Configuration of Algorithms. | Thomas Sttzle, Manuel Lpez-Ibez |
| 2015 | EMO | To DE or Not to DE? Multi-objective Differential Evolution Revisited from a Component-Wise Perspective. | Leonardo C. T. Bezerra, Manuel Lpez-Ibez, Thomas Sttzle |
| 2015 | EMO | Comparing Decomposition-Based and Automatically Component-Wise Designed Multi-Objective Evolutionary Algorithms. | Leonardo C. T. Bezerra, Manuel Lpez-Ibez, Thomas Sttzle |
| 2015 | EMO | Machine Decision Makers as a Laboratory for Interactive EMO. | Manuel Lpez-Ibez, Joshua D. Knowles |
| 2015 | GECCO | Automatic (Offline) Configuration of Algorithms. | Thomas Sttzle, Manuel Lpez-Ibez |
| 2014 | GECCO | A template for designing single-solution hybrid metaheuristics. | Manuel Lpez-Ibez, Franco Mascia, Marie-Elonore Marmion, Thomas Sttzle |
| 2014 | GECCO | Automatic (offline) configuration of algorithms. | Manuel Lpez-Ibez, Thomas Sttzle |
| 2014 | PPSN | Automatic Design of Evolutionary Algorithms for Multi-Objective Combinatorial Optimization. | Leonardo C. T. Bezerra, Manuel Lpez-Ibez, Thomas Sttzle |
| 2014 | PPSN | Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives. | Manuel Lpez-Ibez, Arnaud Liefooghe, Sbastien Vrel |
| 2013 | EMO | Automatically Improving the Anytime Behaviour of Multiobjective Evolutionary Algorithms. | Andreea Radulescu, Manuel Lpez-Ibez, Thomas Sttzle |
| 2013 | GECCO | Automatic (offline) configuration of algorithms. | Thomas Sttzle, Manuel Lpez-Ibez |
| 2012 | PPSN | Runtime Analysis of Simple Interactive Evolutionary Biobjective Optimization Algorithms. | Dimo Brockhoff, Manuel Lpez-Ibez, Boris Naujoks, Gnter Rudolph |
| 2012 | PPSN | On the Anytime Behavior of IPOP-CMA-ES. | Manuel Lpez-Ibez, Tianjun Liao, Thomas Sttzle |
| 2011 | CEC | An experimental study of preference model integration into multi-objective optimization heuristics. | Stefan Eppe, Manuel Lpez-Ibez, Thomas Sttzle, Yves De Smet |
| 2011 | EMO | On the Computation of the Empirical Attainment Function. | Carlos M. Fonseca, Andreia P. Guerreiro, Manuel Lpez-Ibez, Lus Paquete |
| 2011 | EMO | On Sequential Online Archiving of Objective Vectors. | Manuel Lpez-Ibez, Joshua D. Knowles, Marco Laumanns |
| 2011 | GECCO | Automatic configuration of state-of-the-art multi-objective optimizers using the TP+PLS framework. | Jrmie Dubois-Lacoste, Manuel Lpez-Ibez, Thomas Sttzle |
| 2010 | CEC | Pre-scheduled and adaptive parameter variation in MAX-MIN Ant System. | Michael Maur, Manuel Lpez-Ibez, Thomas Sttzle |
| 2010 | GECCO | Ant colony optimization. | Manuel Lpez-Ibez |
| 2010 | GECCO | The impact of design choices of multiobjective antcolony optimization algorithms on performance: an experimental study on the biobjective TSP. | Manuel Lpez-Ibez, Thomas Sttzle |
| 2010 | GECCO | Graphical tools for the analysis of bi-objective optimization algorithms: [workshop on theoretical aspects of evolutionary multiobjective optimization]. | Manuel Lpez-Ibez, Thomas Sttzle, Lus Paquete |
| 2007 | GECCO | Solving optimal pump control problem using max-min ant system. | Manuel Lpez-Ibez, T. Devi Prasad, Ben Paechter |
| 2006 | CEC | An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator. | Carlos M. Fonseca, Lus Paquete, Manuel Lpez-Ibez |
| 2005 | CEC | Multi-objective optimisation of the pump scheduling problem using SPEA2. | Manuel Lpez-Ibez, T. Devi Prasad, Ben Paechter |