On the Design of ACO for the Biobjective Quadratic Assignment Problem. - Manuel López-Ibáñez 001; Luís Paquete; Thomas Stützle (ANTS Workshop, 2004)

Multi-objective optimisation of the pump scheduling problem using SPEA2. - Manuel López-Ibáñez 001; T. Devi Prasad; Ben Paechter (Congress on Evolutionary Computation, 2005)

An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator. - Carlos M. Fonseca; Luís Paquete; Manuel López-Ibáñez 001 (IEEE Congress on Evolutionary Computation, 2006)

Hybrid Population-Based Algorithms for the Bi-Objective Quadratic Assignment Problem. - Manuel López-Ibáñez 001; Luís Paquete; Thomas Stützle (J. Math. Model. Algorithms, 2006)

Using Experimental Design to Analyze Stochastic Local Search Algorithms for Multiobjective Problems. - Luís Paquete; Thomas Stützle; Manuel López-Ibáñez 001 (Metaheuristics, 2007)

Solving optimal pump control problem using max-min ant system. - Manuel López-Ibáñez 001; T. Devi Prasad; Ben Paechter (GECCO, 2007)

An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP. - Manuel López-Ibáñez 001; Thomas Stützle (Artificial Evolution, 2009)

Beam-ACO Based on Stochastic Sampling for Makespan Optimization Concerning the TSP with Time Windows. - Manuel López-Ibáñez 001; Christian Blum 001; Dhananjay R. Thiruvady; Andreas T. Ernst; Bernd Meyer 001 (EvoCOP, 2009)

Effective Hybrid Stochastic Local Search Algorithms for Biobjective Permutation Flowshop Scheduling. - Jérémie Dubois-Lacoste; Manuel López-Ibáñez 001; Thomas Stützle (Hybrid Metaheuristics, 2009)

Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows. - Manuel López-Ibáñez 001; Christian Blum 001 (LION, 2009)

Beam search for the longest common subsequence problem. - Christian Blum 001; Maria J. Blesa; Manuel López-Ibáñez 001 (Comput. Oper. Res., 2009)

On the Complexity of Computing the Hypervolume Indicator. - Nicola Beume; Carlos M. Fonseca; Manuel López-Ibáñez 001; Luís Paquete; Jan Vahrenhold (IEEE Trans. Evol. Comput., 2009)

Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization. - Manuel López-Ibáñez 001; Luís Paquete; Thomas Stützle (Experimental Methods for the Analysis of Optimization Algorithms, 2010)

Automatic Configuration of Multi-Objective ACO Algorithms. - Manuel López-Ibáñez 001; Thomas Stützle (ANTS Conference, 2010)

Pre-scheduled and adaptive parameter variation in MAX-MIN Ant System. - Michael Maur; Manuel López-Ibáñez 001; Thomas Stützle (IEEE Congress on Evolutionary Computation, 2010)

Ant colony optimization. - Manuel López-Ibáñez 001 (GECCO (Companion), 2010)

The impact of design choices of multiobjective antcolony optimization algorithms on performance: an experimental study on the biobjective TSP. - Manuel López-Ibáñez 001; Thomas Stützle (GECCO, 2010)

Graphical tools for the analysis of bi-objective optimization algorithms: [workshop on theoretical aspects of evolutionary multiobjective optimization]. - Manuel López-Ibáñez 001; Thomas Stützle; Luís Paquete (GECCO (Companion), 2010)

Adaptive "Anytime" Two-Phase Local Search. - Jérémie Dubois-Lacoste; Manuel López-Ibáñez 001; Thomas Stützle (LION, 2010)

Beam-ACO for the travelling salesman problem with time windows. - Manuel López-Ibáñez 001; Christian Blum 001 (Comput. Oper. Res., 2010)

An experimental study of preference model integration into multi-objective optimization heuristics. - Stefan Eppe; Manuel López-Ibáñez 001; Thomas Stützle; Yves De Smet (IEEE Congress on Evolutionary Computation, 2011)

On the Computation of the Empirical Attainment Function. - Carlos M. Fonseca; Andreia P. Guerreiro; Manuel López-Ibáñez 001; Luís Paquete (EMO, 2011)

On Sequential Online Archiving of Objective Vectors. - Manuel López-Ibáñez 001; Joshua D. Knowles; Marco Laumanns (EMO, 2011)

Automatic configuration of state-of-the-art multi-objective optimizers using the TP+PLS framework. - Jérémie Dubois-Lacoste; Manuel López-Ibáñez 001; Thomas Stützle (GECCO, 2011)

Improving the anytime behavior of two-phase local search. - Jérémie Dubois-Lacoste; Manuel López-Ibáñez 001; Thomas Stützle (Ann. Math. Artif. Intell., 2011)

A hybrid TP+PLS algorithm for bi-objective flow-shop scheduling problems. - Jérémie Dubois-Lacoste; Manuel López-Ibáñez 001; Thomas Stützle (Comput. Oper. Res., 2011)

Representations and Evolutionary Operators for the Scheduling of Pump Operations in Water Distribution Networks. - Manuel López-Ibáñez 001; T. Devi Prasad; Ben Paechter (Evol. Comput., 2011)

Parameter Adaptation in Ant Colony Optimization. - Thomas Stützle; Manuel López-Ibáñez 001; Paola Pellegrini; Michael Maur; Marco Antonio Montes de Oca; Mauro Birattari; Marco Dorigo (Autonomous Search, 2012)

Automatic Generation of Multi-objective ACO Algorithms for the Bi-objective Knapsack. - Leonardo C. T. Bezerra; Manuel López-Ibáñez 001; Thomas Stützle (ANTS, 2012)

Pareto Local Search Algorithms for Anytime Bi-objective Optimization. - Jérémie Dubois-Lacoste; Manuel López-Ibáñez 001; Thomas Stützle (EvoCOP, 2012)

Runtime Analysis of Simple Interactive Evolutionary Biobjective Optimization Algorithms. - Dimo Brockhoff; Manuel López-Ibáñez 001; Boris Naujoks; Günter Rudolph (PPSN (1), 2012)

On the Anytime Behavior of IPOP-CMA-ES. - Manuel López-Ibáñez 001; Tianjun Liao; Thomas Stützle (PPSN (1), 2012)

An experimental analysis of design choices of multi-objective ant colony optimization algorithms. - Manuel López-Ibáñez 001; Thomas Stützle (Swarm Intell., 2012)

The Automatic Design of Multiobjective Ant Colony Optimization Algorithms. - Manuel López-Ibáñez 001; Thomas Stützle (IEEE Trans. Evol. Comput., 2012)

Automatically Improving the Anytime Behaviour of Multiobjective Evolutionary Algorithms. - Andreea Radulescu; Manuel López-Ibáñez 001; Thomas Stützle (EMO, 2013)

An Analysis of Local Search for the Bi-objective Bidimensional Knapsack Problem. - Leonardo C. T. Bezerra; Manuel López-Ibáñez 001; Thomas Stützle (EvoCOP, 2013)

Automatic (offline) configuration of algorithms. - Thomas Stützle; Manuel López-Ibáñez 001 (GECCO (Companion), 2013)

Automatic Design of Hybrid Stochastic Local Search Algorithms. - Marie-Eléonore Marmion; Franco Mascia; Manuel López-Ibáñez 001; Thomas Stützle (Hybrid Metaheuristics, 2013)

Experimental Analysis of Pheromone-Based Heuristic Column Generation Using irace. - Florence Massen; Manuel López-Ibáñez 001; Thomas Stützle; Yves Deville (Hybrid Metaheuristics, 2013)

From Grammars to Parameters: Automatic Iterated Greedy Design for the Permutation Flow-Shop Problem with Weighted Tardiness. - Franco Mascia; Manuel López-Ibáñez 001; Jérémie Dubois-Lacoste; Thomas Stützle (LION, 2013)

The travelling salesman problem with time windows: Adapting algorithms from travel-time to makespan optimization. - Manuel López-Ibáñez 001; Christian Blum 001; Jeffrey W. Ohlmann; Barrett W. Thomas (Appl. Soft Comput., 2013)

Combining Two Search Paradigms for Multi-objective Optimization: Two-Phase and Pareto Local Search. - Jérémie Dubois-Lacoste; Manuel López-Ibáñez 001; Thomas Stützle (Hybrid Metaheuristics, 2013)

Ant Colony Optimization on a Budget of 1000. - Leslie Pérez Cáceres; Manuel López-Ibáñez 001; Thomas Stützle (ANTS Conference, 2014)

An Analysis of Parameters of irace. - Leslie Pérez Cáceres; Manuel López-Ibáñez 001; Thomas Stützle (EvoCOP, 2014)

A template for designing single-solution hybrid metaheuristics. - Manuel López-Ibáñez 001; Franco Mascia; Marie-Eléonore Marmion; Thomas Stützle (GECCO (Companion), 2014)

Algorithm Comparison by Automatically Configurable Stochastic Local Search Frameworks: A Case Study Using Flow-Shop Scheduling Problems. - Franco Mascia; Manuel López-Ibáñez 001; Jérémie Dubois-Lacoste; Marie-Eléonore Marmion; Thomas Stützle (Hybrid Metaheuristics, 2014)

Deconstructing Multi-objective Evolutionary Algorithms: An Iterative Analysis on the Permutation Flow-Shop Problem. - Leonardo C. T. Bezerra; Manuel López-Ibáñez 001; Thomas Stützle (LION, 2014)

AClib: A Benchmark Library for Algorithm Configuration. - Frank Hutter; Manuel López-Ibáñez 001; Chris Fawcett; Marius Lindauer; Holger H. Hoos; Kevin Leyton-Brown; Thomas Stützle (LION, 2014)

Automatic Design of Evolutionary Algorithms for Multi-Objective Combinatorial Optimization. - Leonardo C. T. Bezerra; Manuel López-Ibáñez 001; Thomas Stützle (PPSN, 2014)

Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives. - Manuel López-Ibáñez 001; Arnaud Liefooghe; Sébastien Vérel (PPSN, 2014)

Grammar-based generation of stochastic local search heuristics through automatic algorithm configuration tools. - Franco Mascia; Manuel López-Ibáñez 001; Jérémie Dubois-Lacoste; Thomas Stützle (Comput. Oper. Res., 2014)

Automatically improving the anytime behaviour of optimisation algorithms. - Manuel López-Ibáñez 001; Thomas Stützle (Eur. J. Oper. Res., 2014)

To DE or Not to DE? Multi-objective Differential Evolution Revisited from a Component-Wise Perspective. - Leonardo C. T. Bezerra; Manuel López-Ibáñez 001; Thomas Stützle (EMO (1), 2015)

Comparing Decomposition-Based and Automatically Component-Wise Designed Multi-Objective Evolutionary Algorithms. - Leonardo C. T. Bezerra; Manuel López-Ibáñez 001; Thomas Stützle (EMO (1), 2015)

Machine Decision Makers as a Laboratory for Interactive EMO. - Manuel López-Ibáñez 001; Joshua D. Knowles (EMO (2), 2015)

Anytime Pareto local search. - Jérémie Dubois-Lacoste; Manuel López-Ibáñez 001; Thomas Stützle (Eur. J. Oper. Res., 2015)

Ant colony optimization on a limited budget of evaluations. - Leslie Pérez Cáceres; Manuel López-Ibáñez 001; Thomas Stützle (Swarm Intell., 2015)

ECADA 2016 Chairs' Welcome. - Manuel López-Ibáñez 001; Daniel R. Tauritz; John R. Woodward (GECCO (Companion), 2016)

Construct, Merge, Solve & Adapt A new general algorithm for combinatorial optimization. - Christian Blum 001; Pedro Pinacho Davidson; Manuel López-Ibáñez 001; José Antonio Lozano 001 (Comput. Oper. Res., 2016)

Automatic Component-Wise Design of Multiobjective Evolutionary Algorithms. - Leonardo C. T. Bezerra; Manuel López-Ibáñez 001; Thomas Stützle (IEEE Trans. Evol. Comput., 2016)

An Empirical Assessment of the Properties of Inverted Generational Distance on Multi- and Many-Objective Optimization. - Leonardo C. T. Bezerra; Manuel López-Ibáñez 001; Thomas Stützle (EMO, 2017)

Automated offline design of algorithms. - Manuel López-Ibáñez 001; Thomas Stützle (GECCO (Companion), 2017)

An Experimental Study of Adaptive Capping in irace. - Leslie Pérez Cáceres; Manuel López-Ibáñez 001; Holger H. Hoos; Thomas Stützle (LION, 2017)

ANTS 2016 special issue: Editorial. - Marco Dorigo; Mauro Birattari; Xiaodong Li 001; Manuel López-Ibáñez 001; Kazuhiro Ohkura; Carlo Pinciroli; Thomas Stützle (Swarm Intell., 2017)

Dominance, epsilon, and hypervolume local optimal sets in multi-objective optimization, and how to tell the difference. - Arnaud Liefooghe; Manuel López-Ibáñez 001; Luís Paquete; Sébastien Vérel (GECCO, 2018)

New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop. - Aymeric Blot; Manuel López-Ibáñez 001; Marie-Eléonore Kessaci; Laetitia Jourdan (PPSN (1), 2018)

On Pareto Local Optimal Solutions Networks. - Arnaud Liefooghe; Bilel Derbel; Sébastien Vérel; Manuel López-Ibáñez 001; Hernán E. Aguirre; Kiyoshi Tanaka (PPSN (2), 2018)

Performance Assessment of Recursive Probability Matching for Adaptive Operator Selection in Differential Evolution. - Mudita Sharma; Manuel López-Ibáñez 001; Dimitar Kazakov (PPSN (2), 2018)

A Large-Scale Experimental Evaluation of High-Performing Multi- and Many-Objective Evolutionary Algorithms. - Leonardo C. T. Bezerra; Manuel López-Ibáñez 001; Thomas Stützle (Evol. Comput., 2018)

Ant Colony Optimization: A Component-Wise Overview. - Manuel López-Ibáñez 001; Thomas Stützle; Marco Dorigo (Handbook of Heuristics, 2018)

On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization. - Atanu Mazumdar; Tinkle Chugh; Kaisa Miettinen; Manuel López-Ibáñez 001 (EMO, 2019)

Archiver effects on the performance of state-of-the-art multi- and many-objective evolutionary algorithms. - Leonardo C. T. Bezerra; Manuel López-Ibáñez 001; Thomas Stützle (GECCO, 2019)

Automatic configuration of NSGA-II with jMetal and irace. - Antonio J. Nebro; Manuel López-Ibáñez 001; Cristóbal Barba-González; José García-Nieto (GECCO (Companion), 2019)

Automatic surrogate modelling technique selection based on features of optimization problems. - Bhupinder Singh Saini; Manuel López-Ibáñez 001; Kaisa Miettinen (GECCO (Companion), 2019)

Deep reinforcement learning based parameter control in differential evolution. - Mudita Sharma; Alexandros Komninos; Manuel López-Ibáñez 001; Dimitar Kazakov (GECCO, 2019)

Reliable simulation-optimization of traffic lights in a real-world city. - Javier Ferrer; Manuel López-Ibáñez 001; Enrique Alba 001 (Appl. Soft Comput., 2019)

Latin Hypercube Designs with Branching and Nested Factors for Initialization of Automatic Algorithm Configuration. - Simon Wessing; Manuel López-Ibáñez 001 (Evol. Comput., 2019)

Automated algorithm configuration and design. - Manuel López-Ibáñez 001; Thomas Stützle (GECCO Companion, 2020)

Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art. - Youngmin Kim; Richard Allmendinger 001; Manuel López-Ibáñez 001 (TAILOR, 2020)

Unified Framework for the Adaptive Operator Selection of Discrete Parameters. - Mudita Sharma; Manuel López-Ibáñez 001; Dimitar Kazakov (CoRR, 2020)

Benchmarking in Optimization: Best Practice and Open Issues. - Thomas Bartz-Beielstein; Carola Doerr; Jakob Bossek; Sowmya Chandrasekaran; Tome Eftimov; Andreas Fischbach; Pascal Kerschke; Manuel López-Ibáñez 001; Katherine M. Malan; Jason H. Moore; Boris Naujoks; Patryk Orzechowski; et al. (CoRR, 2020)

Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms. - Leonardo C. T. Bezerra; Manuel López-Ibáñez 001; Thomas Stützle (Evol. Comput., 2020)

General Northern English. Exploring Regional Variation in the North of England With Machine Learning. - Patrycja Strycharczuk; Manuel López-Ibáñez 001; Georgina Brown; Adrian Leemann (Frontiers Artif. Intell., 2020)

Automatic Configuration of Multi-objective Optimizers and Multi-objective Configuration. - Leonardo C. T. Bezerra; Manuel López-Ibáñez 001; Thomas Stützle (High-Performance Simulation-Based Optimization, 2020)

A Multi-objective Multi-type Facility Location Problem for the Delivery of Personalised Medicine. - Andreea Avramescu; Richard Allmendinger 001; Manuel López-Ibáñez 001 (EvoApplications, 2021)

Hybridization of Racing Methods with Evolutionary Operators for Simulation Optimization of Traffic Lights Programs. - Christian Cintrano; Javier Ferrer; Manuel López-Ibáñez 001; Enrique Alba 001 (EvoCOP, 2021)

Interactive parameter tuning of bi-objective optimisation algorithms using the empirical attainment function. - Manuel López-Ibáñez 001; Juan Esteban Diaz (GECCO Companion, 2021)

Maximising hypervolume and minimising ϵ-indicators using Bayesian optimisation over sets. - Tinkle Chugh; Manuel López-Ibáñez 001 (GECCO Companion, 2021)

Unbalanced mallows models for optimizing expensive black-box permutation problems. - Ekhine Irurozki; Manuel López-Ibáñez 001 (GECCO, 2021)

Replicability and reproducibility in evolutionary optimization. - Luís Paquete; Manuel López-Ibáñez 001 (GECCO Companion, 2021)

Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms. - Seyed Mahdi Shavarani; Manuel López-Ibáñez 001; Joshua D. Knowles (GECCO, 2021)

Extensible Logging and Empirical Attainment Function for IOHexperimenter. - Johann Dréo; Manuel López-Ibáñez 001 (CoRR, 2021)

Incorporating decision-maker's preferences into the automatic configuration of bi-objective optimisation algorithms. - Juan Esteban Diaz; Manuel López-Ibáñez 001 (Eur. J. Oper. Res., 2021)

Predicting tweet impact using a novel evidential reasoning prediction method. - Lucía Rivadeneira; Jian-Bo Yang; Manuel López-Ibáñez 001 (Expert Syst. Appl., 2021)

Visualizations for decision support in scenario-based multiobjective optimization. - Babooshka Shavazipour; Manuel López-Ibáñez 001; Kaisa Miettinen (Inf. Sci., 2021)

Reproducibility in Evolutionary Computation. - Manuel López-Ibáñez 001; Jürgen Branke; Luís Paquete (ACM Trans. Evol. Learn. Optim., 2021)

irace. - Manuel López-Ibáñez 001; Leslie Pérez Cáceres; Jérémie Dubois-Lacoste; Thomas Stützle; Mauro Birattari; Zhi Yuan; Prasanna Balaprakash (Zenodo, 2021)

Automatic Design of Multi-objective Particle Swarm Optimizers. - Daniel Doblas; Antonio J. Nebro; Manuel López-Ibáñez 001; José García-Nieto; Carlos A. Coello Coello (ANTS Conference, 2022)

Composite Facility Location Problems: A Case Study of Personalised Medicine. - Andreea Avramescu; Richard Allmendinger 001; Manuel López-Ibáñez 001; Adriana G. Lopes (CIBCB, 2022)

The Asteroid Routing Problem: A Benchmark for Expensive Black-Box Permutation Optimization. - Manuel López-Ibáñez 001; Francisco Chicano; Rodrigo Gil-Merino (EvoApplications, 2022)

Multi-objective QUBO solver: bi-objective quadratic assignment problem. - Mayowa Ayodele; Richard Allmendinger 001; Manuel López-Ibáñez 001; Matthieu Parizy (GECCO, 2022)

Optimization challenges at the european space agency. - Dario Izzo; Manuel López-Ibáñez 001 (GECCO Companion, 2022)

Are evolutionary algorithms safe optimizers? - Youngmin Kim; Richard Allmendinger 001; Manuel López-Ibáñez 001 (GECCO, 2022)

Expensive optimization with production-graph resource constraints: a first look at a new problem class. - Stefan Pricopie; Richard Allmendinger 001; Manuel López-Ibáñez 001; Clyde Fare; Matt Benatan; Joshua D. Knowles (GECCO, 2022)

Efficient configuration of optimization algorithms. - Marcelo de Souza; Marcus Ritt; Manuel López-Ibáñez 001 (GECCO Companion, 2022)

Automated algorithm configuration and design. - Thomas Stützle; Manuel López-Ibáñez 001; Leslie Pérez Cáceres (GECCO Companion, 2022)

Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms. - Diederick Vermetten; Hao Wang 025; Manuel López-Ibáñez 001; Carola Doerr; Thomas Bäck (GECCO, 2022)

A Study of Scalarisation Techniques for Multi-objective QUBO Solving. - Mayowa Ayodele; Richard Allmendinger 001; Manuel López-Ibáñez 001; Matthieu Parizy (OR, 2022)

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 López-Ibáñez 001; Carola Doerr (PPSN (1), 2022)

Capping methods for the automatic configuration of optimization algorithms. - Marcelo de Souza; Marcus Ritt; Manuel López-Ibáñez 001 (Comput. Oper. Res., 2022)

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. - Laurens Bliek; Paulo da Costa 001; Reza Refaei Afshar; Yingqian Zhang 001; Tom Catshoek; Daniël Vos; Sicco Verwer; Fynn Schmitt-Ulms; André Hottung; Tapan Shah 001; Meinolf Sellmann; Kevin Tierney; et al. (CoRR, 2022)

Multi-objective QUBO Solver: Bi-objective Quadratic Assignment. - Mayowa Ayodele; Richard Allmendinger 001; Manuel López-Ibáñez 001; Matthieu Parizy (CoRR, 2022)

Analyzing the Impact of Undersampling on the Benchmarkingand Configuration of Evolutionary Algorithms - Dataset. - Diederick Vermetten; Hao Wang 025; Manuel López-Ibáñez 001; Carola Doerr; Thomas Bäck (Zenodo, 2022)

An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. - Seyed Mahdi Shavarani; Manuel López-Ibáñez 001; Richard Allmendinger 001; Joshua D. Knowles (EMO, 2023)

Interactive Stage-Wise Optimisation of Personalised Medicine Supply Chains. - Andreea Avramescu; Manuel López-Ibáñez 001; Richard Allmendinger 001 (EvoApplications@EvoStar, 2023)

Applying Ising Machines to Multi-objective QUBOs. - Mayowa Ayodele; Richard Allmendinger 001; Manuel López-Ibáñez 001; Arnaud Liefooghe; Matthieu Parizy (GECCO Companion, 2023)

Many-objective (Combinatorial) Optimization is Easy. - Arnaud Liefooghe; Manuel López-Ibáñez 001 (GECCO, 2023)

Capacitated School Bus Routing Problem with Time Windows, Heterogeneous Fleets and Travel Assistants. - Ozioma Paul; Julia Handl; Manuel López-Ibáñez 001 (GECCO Companion, 2023)

Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. - Diederick Vermetten; Manuel López-Ibáñez 001; Olaf Mersmann; Richard Allmendinger 001; Anna V. Kononova (GECCO Companion, 2023)

Algorithm Configuration via Continuously Racing: Preliminary Results. - Yunshuang Xiao; Leslie Pérez Cáceres; Manuel López-Ibáñez 001; Thomas Stützle (GECCO Companion, 2023)

Synergizing Theory and Practice of Automated Algorithm Design for Optimization (Dagstuhl Seminar 23332). - Diederick Vermetten; Martin S. Krejca; Marius Lindauer; Manuel López-Ibáñez 001; Katherine M. Malan (Dagstuhl Reports, 2023)

Hybridization of Evolutionary Operators with Elitist Iterated Racing for the Simulation Optimization of Traffic Lights Programs. - Christian Cintrano; Javier Ferrer; Manuel López-Ibáñez 001; Enrique Alba 001 (Evol. Comput., 2023)

Treed Gaussian Process Regression for Solving Offline Data-Driven Continuous Multiobjective Optimization Problems. - Atanu Mazumdar; Manuel López-Ibáñez 001; Tinkle Chugh; Jussi Hakanen; Kaisa Miettinen (Evol. Comput., 2023)

The first AI4TSP competition: Learning to solve stochastic routing problems. - Yingqian Zhang 001; Laurens Bliek; Paulo da Costa 001; Reza Refaei Afshar; Robbert Reijnen; Tom Catshoek; Daniël Vos; Sicco Verwer; Fynn Schmitt-Ulms; André Hottung; Tapan Shah 001; Meinolf Sellmann; et al. (Artif. Intell., 2023)

Transfer Learning of Surrogate Models via Domain Affine Transformation. - Shuaiqun Pan; Diederick Vermetten; Manuel López-Ibáñez 001; Thomas Bäck; Hao Wang 025 (GECCO, 2024)

Bayesian Optimization with Setup Switching Cost. - Stefan Pricopie; Richard Allmendinger 001; Manuel López-Ibáñez 001; Clyde Fare; Matt Benatan; Joshua D. Knowles (GECCO Companion, 2024)

Extending Instance Space Analysis to Algorithm Configuration Spaces. - Anthony Rasulo; Kate Smith-Miles; Mario A. Muñoz; Julia Handl; Manuel López-Ibáñez 001 (GECCO Companion, 2024)

An Adaptive Approach to Bayesian Optimization with Setup Switching Costs. - Stefan Pricopie; Richard Allmendinger 001; Manuel López-Ibáñez 001; Clyde Fare; Matt Benatan; Joshua D. Knowles (PPSN (2), 2024)

Counter-Factual Hidden Event Detection: A Proof of Concept Using Machine Learning in Time Series. - Carlos Cano Domingo; Manuel López-Ibáñez 001; Ruxandra Stoean; Manuel Soler-Ortiz (SYNASC, 2024)

Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms. - Manuel López-Ibáñez 001; Diederick Vermetten; Johann Dréo; Carola Doerr (CoRR, 2024)

An adaptive approach to Bayesian Optimization with switching costs. - Stefan Pricopie; Richard Allmendinger 001; Manuel López-Ibáñez 001; Clyde Fare; Matt Benatan; Joshua D. Knowles (CoRR, 2024)

MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler. - Diederick Vermetten; Jeroen Rook; Oliver Ludger Preuß; Jacob de Nobel; Carola Doerr; Manuel López-Ibáñez 001; Heike Trautmann; Thomas Bäck (CoRR, 2024)

Editorial for the Special Issue on Reproducibility. - Manuel López-Ibáñez 001; Luís Paquete; Mike Preuss (Evol. Comput., 2024)

On the automatic generation of metaheuristic algorithms for combinatorial optimization problems. - Raúl Martín-Santamaría; Manuel López-Ibáñez 001; Thomas Stützle; J. Manuel Colmenar (Eur. J. Oper. Res., 2024)

Autoconfig: Balanced Minimum sum-of-squares clustering case. - Raúl Martín-Santamaría; Manuel López-Ibáñez 001; Thomas Stützle; José Manuel Colmenar (Zenodo, 2024)

Autoconfig: Vehicle Routing Problem with Occasional Drivers. - Raúl Martín-Santamaría; Manuel López-Ibáñez 001; Thomas Stützle; José Manuel Colmenar (Zenodo, 2024)

Detecting Hidden and Irrelevant Objectives in Interactive Multiobjective Optimization. - Seyed Mahdi Shavarani; Manuel López-Ibáñez 001; Richard Allmendinger 001 (IEEE Trans. Evol. Comput., 2024)

Multi-Objective Archiving. - Miqing Li; Manuel López-Ibáñez 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2024)

On Benchmarking Interactive Evolutionary Multiobjective Algorithms. - Seyed Mahdi Shavarani; Manuel López-Ibáñez 001; Joshua D. Knowles (IEEE Trans. Evol. Comput., 2024)

Ants 2022 special issue. - Marco Dorigo; Heiko Hamann; Manuel López-Ibáñez 001; José García-Nieto; Andries P. Engelbrecht; Carlo Pinciroli; Volker Strobel; Christian Leonardo Camacho-Villalón (Swarm Intell., 2024)

On the automatic design of multi-objective particle swarm optimizers: experimentation and analysis. - Antonio J. Nebro; Manuel López-Ibáñez 001; José García-Nieto; Carlos A. Coello Coello (Swarm Intell., 2024)

Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks. - Shuaiqun Pan; Diederick Vermetten; Manuel López-Ibáñez 001; Thomas Bäck; Hao Wang 025 (CEC, 2025)

MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler. - Diederick Vermetten; Jeroen Rook; Oliver L. Preuß; Jacob de Nobel; Carola Doerr; Manuel López-Ibáñez 001; Heike Trautmann; Thomas Bäck (EMO (1), 2025)

Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations. - Shuaiqun Pan; Diederick Vermetten; Manuel López-Ibáñez 001; Thomas Bäck; Hao Wang 025 (CoRR, 2025)

Guest Editorial Machine-Learning-Assisted Evolutionary Computation. - Rong Qu; Nelishia Pillay; Emma Hart; Manuel López-Ibáñez 001 (IEEE Trans. Evol. Comput., 2025)