Manuel López-Ibáñez

Orcid: 0000-0001-9974-1295

Affiliations:
  • University of Manchester, UK
  • University of Málaga, Spain (former)
  • University of Manchester, UK (former)


According to our database1, Manuel López-Ibáñez authored at least 137 papers between 2004 and 2024.

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Bibliography

2024
On the automatic design of multi-objective particle swarm optimizers: experimentation and analysis.
Swarm Intell., September, 2024

Ants 2022 special issue.
Swarm Intell., September, 2024

On Benchmarking Interactive Evolutionary Multiobjective Algorithms.
IEEE Trans. Evol. Comput., August, 2024

Multi-Objective Archiving.
IEEE Trans. Evol. Comput., June, 2024

Detecting Hidden and Irrelevant Objectives in Interactive Multiobjective Optimization.
IEEE Trans. Evol. Comput., April, 2024

On the automatic generation of metaheuristic algorithms for combinatorial optimization problems.
Eur. J. Oper. Res., 2024

Editorial for the Special Issue on Reproducibility.
Evol. Comput., 2024

An adaptive approach to Bayesian Optimization with switching costs.
CoRR, 2024

Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms.
CoRR, 2024

An Adaptive Approach to Bayesian Optimization with Setup Switching Costs.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Extending Instance Space Analysis to Algorithm Configuration Spaces.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Bayesian Optimization with Setup Switching Cost.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Transfer Learning of Surrogate Models via Domain Affine Transformation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
The first AI4TSP competition: Learning to solve stochastic routing problems.
Artif. Intell., June, 2023

Treed Gaussian Process Regression for Solving Offline Data-Driven Continuous Multiobjective Optimization Problems.
Evol. Comput., 2023

Hybridization of Evolutionary Operators with Elitist Iterated Racing for the Simulation Optimization of Traffic Lights Programs.
Evol. Comput., 2023

Synergizing Theory and Practice of Automated Algorithm Design for Optimization (Dagstuhl Seminar 23332).
Dagstuhl Reports, 2023

Algorithm Configuration via Continuously Racing: Preliminary Results.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Capacitated School Bus Routing Problem with Time Windows, Heterogeneous Fleets and Travel Assistants.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Many-objective (Combinatorial) Optimization is Easy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Applying Ising Machines to Multi-objective QUBOs.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Interactive Stage-Wise Optimisation of Personalised Medicine Supply Chains.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022
Analyzing the Impact of Undersampling on the Benchmarkingand Configuration of Evolutionary Algorithms - Dataset.
Dataset, January, 2022

Multi-objective QUBO Solver: Bi-objective Quadratic Assignment.
CoRR, 2022

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems.
CoRR, 2022

Capping methods for the automatic configuration of optimization algorithms.
Comput. Oper. Res., 2022

Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

A Study of Scalarisation Techniques for Multi-objective QUBO Solving.
Proceedings of the Operations Research Proceedings 2022: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), 2022

Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Automated algorithm configuration and design.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Efficient configuration of optimization algorithms.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Expensive optimization with production-graph resource constraints: a first look at a new problem class.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Are evolutionary algorithms safe optimizers?
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Optimization challenges at the european space agency.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Multi-objective QUBO solver: bi-objective quadratic assignment problem.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

The Asteroid Routing Problem: A Benchmark for Expensive Black-Box Permutation Optimization.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

Composite Facility Location Problems: A Case Study of Personalised Medicine.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

Automatic Design of Multi-objective Particle Swarm Optimizers.
Proceedings of the Swarm Intelligence - 13th International Conference, 2022

2021

Reproducibility in Evolutionary Computation.
ACM Trans. Evol. Learn. Optim., 2021

Visualizations for decision support in scenario-based multiobjective optimization.
Inf. Sci., 2021

Predicting tweet impact using a novel evidential reasoning prediction method.
Expert Syst. Appl., 2021

Incorporating decision-maker's preferences into the automatic configuration of bi-objective optimisation algorithms.
Eur. J. Oper. Res., 2021

Extensible Logging and Empirical Attainment Function for IOHexperimenter.
CoRR, 2021

Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Replicability and reproducibility in evolutionary optimization.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Unbalanced mallows models for optimizing expensive black-box permutation problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Maximising hypervolume and minimising ϵ-indicators using Bayesian optimisation over sets.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Interactive parameter tuning of bi-objective optimisation algorithms using the empirical attainment function.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Hybridization of Racing Methods with Evolutionary Operators for Simulation Optimization of Traffic Lights Programs.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021

A Multi-objective Multi-type Facility Location Problem for the Delivery of Personalised Medicine.
Proceedings of the Applications of Evolutionary Computation, 2021

2020
Automatic Configuration of Multi-objective Optimizers and Multi-objective Configuration.
Proceedings of the High-Performance Simulation-Based Optimization, 2020

General Northern English. Exploring Regional Variation in the North of England With Machine Learning.
Frontiers Artif. Intell., 2020

Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms.
Evol. Comput., 2020

Benchmarking in Optimization: Best Practice and Open Issues.
CoRR, 2020

Unified Framework for the Adaptive Operator Selection of Discrete Parameters.
CoRR, 2020

Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

Automated algorithm configuration and design.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Latin Hypercube Designs with Branching and Nested Factors for Initialization of Automatic Algorithm Configuration.
Evol. Comput., 2019

Reliable simulation-optimization of traffic lights in a real-world city.
Appl. Soft Comput., 2019

Deep reinforcement learning based parameter control in differential evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Automatic surrogate modelling technique selection based on features of optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Automatic configuration of NSGA-II with jMetal and irace.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Archiver effects on the performance of state-of-the-art multi- and many-objective evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
Ant Colony Optimization: A Component-Wise Overview.
Proceedings of the Handbook of Heuristics., 2018

A Large-Scale Experimental Evaluation of High-Performing Multi- and Many-Objective Evolutionary Algorithms.
Evol. Comput., 2018

Performance Assessment of Recursive Probability Matching for Adaptive Operator Selection in Differential Evolution.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

On Pareto Local Optimal Solutions Networks.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Dominance, epsilon, and hypervolume local optimal sets in multi-objective optimization, and how to tell the difference.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
ANTS 2016 special issue: Editorial.
Swarm Intell., 2017

An Experimental Study of Adaptive Capping in irace.
Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017

Automated offline design of algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

An Empirical Assessment of the Properties of Inverted Generational Distance on Multi- and Many-Objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016
Automatic Component-Wise Design of Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2016

Construct, Merge, Solve & Adapt A new general algorithm for combinatorial optimization.
Comput. Oper. Res., 2016

ECADA 2016 Chairs' Welcome.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Ant colony optimization on a limited budget of evaluations.
Swarm Intell., 2015

Anytime Pareto local search.
Eur. J. Oper. Res., 2015

Machine Decision Makers as a Laboratory for Interactive EMO.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Comparing Decomposition-Based and Automatically Component-Wise Designed Multi-Objective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

To DE or Not to DE? Multi-objective Differential Evolution Revisited from a Component-Wise Perspective.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2014
Automatically improving the anytime behaviour of optimisation algorithms.
Eur. J. Oper. Res., 2014

Grammar-based generation of stochastic local search heuristics through automatic algorithm configuration tools.
Comput. Oper. Res., 2014

Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Automatic Design of Evolutionary Algorithms for Multi-Objective Combinatorial Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

AClib: A Benchmark Library for Algorithm Configuration.
Proceedings of the Learning and Intelligent Optimization, 2014

Deconstructing Multi-objective Evolutionary Algorithms: An Iterative Analysis on the Permutation Flow-Shop Problem.
Proceedings of the Learning and Intelligent Optimization, 2014

Algorithm Comparison by Automatically Configurable Stochastic Local Search Frameworks: A Case Study Using Flow-Shop Scheduling Problems.
Proceedings of the Hybrid Metaheuristics - 9th International Workshop, HM 2014, 2014

A template for designing single-solution hybrid metaheuristics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

An Analysis of Parameters of irace.
Proceedings of the Evolutionary Computation in Combinatorial Optimisation, 2014

Ant Colony Optimization on a Budget of 1000.
Proceedings of the Swarm Intelligence - 9th International Conference, 2014

2013
Combining Two Search Paradigms for Multi-objective Optimization: Two-Phase and Pareto Local Search.
Proceedings of the Hybrid Metaheuristics, 2013

The travelling salesman problem with time windows: Adapting algorithms from travel-time to makespan optimization.
Appl. Soft Comput., 2013

From Grammars to Parameters: Automatic Iterated Greedy Design for the Permutation Flow-Shop Problem with Weighted Tardiness.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

Experimental Analysis of Pheromone-Based Heuristic Column Generation Using irace.
Proceedings of the Hybrid Metaheuristics - 8th International Workshop, 2013

Automatic Design of Hybrid Stochastic Local Search Algorithms.
Proceedings of the Hybrid Metaheuristics - 8th International Workshop, 2013

Automatic (offline) configuration of algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

An Analysis of Local Search for the Bi-objective Bidimensional Knapsack Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013

Automatically Improving the Anytime Behaviour of Multiobjective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012
The Automatic Design of Multiobjective Ant Colony Optimization Algorithms.
IEEE Trans. Evol. Comput., 2012

An experimental analysis of design choices of multi-objective ant colony optimization algorithms.
Swarm Intell., 2012

On the Anytime Behavior of IPOP-CMA-ES.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Runtime Analysis of Simple Interactive Evolutionary Biobjective Optimization Algorithms.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Pareto Local Search Algorithms for Anytime Bi-objective Optimization.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2012

Automatic Generation of Multi-objective ACO Algorithms for the Bi-objective Knapsack.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

Parameter Adaptation in Ant Colony Optimization.
Proceedings of the Autonomous Search, 2012

2011
Representations and Evolutionary Operators for the Scheduling of Pump Operations in Water Distribution Networks.
Evol. Comput., 2011

A hybrid TP+PLS algorithm for bi-objective flow-shop scheduling problems.
Comput. Oper. Res., 2011

Improving the anytime behavior of two-phase local search.
Ann. Math. Artif. Intell., 2011

Automatic configuration of state-of-the-art multi-objective optimizers using the TP+PLS framework.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

On Sequential Online Archiving of Objective Vectors.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

On the Computation of the Empirical Attainment Function.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

An experimental study of preference model integration into multi-objective optimization heuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Beam-ACO for the travelling salesman problem with time windows.
Comput. Oper. Res., 2010

Adaptive "Anytime" Two-Phase Local Search.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

Graphical tools for the analysis of bi-objective optimization algorithms: [workshop on theoretical aspects of evolutionary multiobjective optimization].
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

The impact of design choices of multiobjective antcolony optimization algorithms on performance: an experimental study on the biobjective TSP.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Ant colony optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Pre-scheduled and adaptive parameter variation in MAX-MIN Ant System.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Automatic Configuration of Multi-Objective ACO Algorithms.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010

Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization.
Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

2009
On the Complexity of Computing the Hypervolume Indicator.
IEEE Trans. Evol. Comput., 2009

Beam search for the longest common subsequence problem.
Comput. Oper. Res., 2009

Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009

Effective Hybrid Stochastic Local Search Algorithms for Biobjective Permutation Flowshop Scheduling.
Proceedings of the Hybrid Metaheuristics, 6th International Workshop, 2009

Beam-ACO Based on Stochastic Sampling for Makespan Optimization Concerning the TSP with Time Windows.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2009

An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP.
Proceedings of the Artifical Evolution, 2009

2007
Solving optimal pump control problem using max-min ant system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Using Experimental Design to Analyze Stochastic Local Search Algorithms for Multiobjective Problems.
Proceedings of the Metaheuristics, 2007

2006
Hybrid Population-Based Algorithms for the Bi-Objective Quadratic Assignment Problem.
J. Math. Model. Algorithms, 2006

An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Multi-objective optimisation of the pump scheduling problem using SPEA2.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
On the Design of ACO for the Biobjective Quadratic Assignment Problem.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004


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