Peter A. N. Bosman

Orcid: 0000-0002-4186-6666

According to our database1, Peter A. N. Bosman authored at least 171 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-Objective Learning for Deformable Image Registration.
CoRR, 2024

Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals.
CoRR, 2024

MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data.
CoRR, 2024

Learning Discretized Bayesian Networks with GOMEA.
CoRR, 2024

Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA.
CoRR, 2024

Improving the efficiency of GP-GOMEA for higher-arity operators.
CoRR, 2024

A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration.
CoRR, 2024

2023
Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251).
Dagstuhl Reports, 2023

Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations.
CoRR, 2023

Convolutions, transformers, and their ensembles for the segmentation of organs at risk in radiation treatment of cervical cancer.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Bi-objective optimization of organ properties for the simulation of intracavitary brachytherapy applicator placement in cervical cancer.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations.
Proceedings of the Medical Imaging with Deep Learning, 2023

Multi-Objective Population Based Training.
Proceedings of the International Conference on Machine Learning, 2023

Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

The Impact of Asynchrony on Parallel Model-Based EAs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Multi-objective Learning Using HV Maximization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization.
Swarm Evol. Comput., 2022

Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing.
Evol. Comput., 2022

Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning.
CoRR, 2022

Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning.
CoRR, 2022

Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Gene-pool Optimal Mixing in Cartesian Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Data variation-aware medical image segmentation.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Mixed-block neural architecture search for medical image segmentation.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Multi-objective dual simplex-mesh based deformable image registration for 3D medical images - proof of concept.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

On genetic programming representations and fitness functions for interpretable dimensionality reduction.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Model-based evolutionary algorithms: GECCO 2022 tutorial.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Evolvability degeneration in multi-objective genetic programming for symbolic regression.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Solving multi-structured problems by introducing linkage kernels into GOMEA.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Heed the noise in performance evaluations in neural architecture search.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Adaptive objective configuration in bi-objective evolutionary optimization for cervical cancer brachytherapy treatment planning.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Evolutionary neural cascade search across supernetworks.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

GPU-accelerated parallel gene-pool optimal mixing in a gray-box optimization setting.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021
Two-Phase Real-Valued Multimodal Optimization with the Hill-Valley Evolutionary Algorithm.
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021

A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies.
ACM Trans. Evol. Learn. Optim., 2021

Fitness-Based Linkage Learning in the Real-Valued Gene-Pool Optimal Mixing Evolutionary Algorithm.
IEEE Trans. Evol. Comput., 2021

Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions.
Evol. Comput., 2021

Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations.
Evol. Comput., 2021

Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms.
CoRR, 2021

Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration.
CoRR, 2021

Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization.
CoRR, 2021

Optimization of multi-objective mixed-integer problems with a model-based evolutionary algorithm in a black-box setting.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Local Search is a Remarkably Strong Baseline for Neural Architecture Search.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

GPU-Accelerated Parallel Gene-pool Optimal Mixing Applied to Multi-Objective Deformable Image Registration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
On explaining machine learning models by evolving crucial and compact features.
Swarm Evol. Comput., 2020

Ensuring smoothly navigable approximation sets by Bezier curve parameterizations in evolutionary bi-objective optimization - applied to brachytherapy treatment planning for prostate cancer.
CoRR, 2020

Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing.
CoRR, 2020

Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy.
CoRR, 2020

Robust Evolutionary Bi-objective Optimization for Prostate Cancer Treatment with High-Dose-Rate Brachytherapy.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Ensuring Smoothly Navigable Approximation Sets by Bézier Curve Parameterizations in Evolutionary Bi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Multi-objective Optimization by Uncrowded Hypervolume Gradient Ascent.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

An end-to-end deep learning approach for landmark detection and matching in medical images.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Model-based evolutionary algorithms: GECCO 2020 tutorial.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Leveraging conditional linkage models in gray-box optimization with the real-valued gene-pool optimal mixing evolutionary algorithm.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms.
CoRR, 2019

Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization.
CoRR, 2019

A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions.
CoRR, 2019

Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy.
Appl. Soft Comput., 2019

Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration.
Algorithms, 2019

Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Model-based evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Toward self-learning model-based EAs.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Convolutional neural network surrogate-assisted GOMEA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Multi-objective Gene-pool Optimal Mixing Evolutionary Algorithm with the Interleaved Multi-start Scheme.
Swarm Evol. Comput., 2018

Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment.
Swarm Evol. Comput., 2018

The importance of implementation details and parameter settings in black-box optimization: a case study on Gaussian estimation-of-distribution algorithms and circles-in-a-square packing problems.
Soft Comput., 2018

Unveiling evolutionary algorithm representation with DU maps.
Genet. Program. Evolvable Mach., 2018

GAMBIT: A Parameterless Model-Based Evolutionary Algorithm for Mixed-Integer Problems.
Evol. Comput., 2018

Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning.
Evol. Comput., 2018

Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization.
CoRR, 2018

Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Model-based evolutionary algorithms: GECCO 2018 tutorial.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Learning bayesian network structures with GOMEA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Better and faster catheter position optimization in HDR brachytherapy for prostate cancer using multi-objective real-valued GOMEA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Real-valued evolutionary multi-modal optimization driven by hill-valley clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
A novel model-based evolutionary algorithm for multi-objective deformable image registration with content mismatch and large deformations: benchmarking efficiency and quality.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Model-based evolutionary algorithms: GECCO 2017 tutorial.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

A first step toward uncovering the truth about weight tuning in deformable image registration.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Smart grid initialization reduces the computational complexity of multi-objective image registration based on a dual-dynamic transformation model to account for large anatomical differences.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

GECCO'16 Model-Based Evolutionary Algorithms (MBEA) Workshop Chairs' Welcome.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Learning and exploiting mixed variable dependencies with a model-based EA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
On the usefulness of gradient information in multi-objective deformable image registration using a B-spline-based dual-dynamic transformation model: comparison of three optimization algorithms.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Getting the most out of additional guidance information in deformable image registration by leveraging multi-objective optimization.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued Variables.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image Registration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

In Search of Optimal Linkage Trees.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
Practice-oriented optimization of distribution network planning using metaheuristic algorithms.
Proceedings of the 2014 Power Systems Computation Conference, 2014

Combining Model-Based EAs for Mixed-Integer Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Market Garden: A Simulation Environment for Research and User Experience in Smart Grids.
Proceedings of the Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

A multi-resolution strategy for a multi-objective deformable image registration framework that accommodates large anatomical differences.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

A novel population-based multi-objective CMA-ES and the impact of different constraint handling techniques.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Multi-objective gene-pool optimal mixing evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Efficiency enhancements for evolutionary capacity planning in distribution grids.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Market Garden: A Scalable Research Environment for Heterogeneous Electricity Markets.
ERCIM News, 2013

Benchmarking Parameter-Free AMaLGaM on Functions With and Without Noise.
Evol. Comput., 2013

Deformable image registration by multi-objective optimization using a dual-dynamic transformation model to account for large anatomical differences.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Local search and restart strategies for satisfiability solving in fuzzy logics.
Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2013

Hierarchical problem solving with the linkage tree genetic algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

On the usefulness of linkage processing for solving MAX-SAT.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Solving satisfiability in fuzzy logics by mixing CMA-ES.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

More concise and robust linkage learning by filtering and combining linkage hierarchies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Medium-Voltage Distribution Network Expansion Planning with Gene-pool Optimal Mixing Evolutionary Algorithms.
Proceedings of the Artificial Evolution, 2013

2012
On Gradients and Hybrid Evolutionary Algorithms for Real-Valued Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2012

Evolvability Analysis of the Linkage Tree Genetic Algorithm.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Elitist Archiving for Multi-Objective Evolutionary Algorithms: To Adapt or Not to Adapt.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

On Measures to Build Linkage Trees in LTGA.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Multi-objective optimization for deformable image registration: proof of concept.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Learning the Neighborhood with the Linkage Tree Genetic Algorithm.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Predetermined versus learned linkage models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Linkage neighbors, optimal mixing and forced improvements in genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Incremental gaussian model-building in multi-objective EDAs with an application to deformable image registration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Adaptive Strategies for Dynamic Pricing Agents.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011

Optimal mixing evolutionary algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspective.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
A Computational Approach to Patient Flow Logistics in Hospitals.
ERCIM News, 2010

Enhanced hospital resource management using anticipatory policies in online dynamic multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

The anticipated mean shift and cluster registration in mixture-based EDAs for multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
AMaLGaM IDEAs in noisy black-box optimization benchmarking.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

AMaLGaM IDEAs in noiseless black-box optimization benchmarking.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

On empirical memory design, faster selection of bayesian factorizations and parameter-free gaussian EDAs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Evolutionary Multiobjective Optimization for Dynamic Hospital Resource Management.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

Optimization of Online Patient Scheduling with Urgencies and Preferences.
Proceedings of the Artificial Intelligence in Medicine, 2009

2008
Matching inductive search bias and problem structure in continuous Estimation-of-Distribution Algorithms.
Eur. J. Oper. Res., 2008

Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift.
Proceedings of the Parallel Problem Solving from Nature, 2008

Learning Structure Illuminates Black Boxes - An Introduction to Estimation of Distribution Algorithms.
Proceedings of the Advances in Metaheuristics for Hard Optimization, 2008

Agent-based patient admission scheduling in hospitals.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007
Learning and Anticipation in Online Dynamic Optimization.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

Towards a Real-Time Minimally-Invasive Vascular Intervention Simulation System.
IEEE Trans. Medical Imaging, 2007

Convergence phases, variance trajectories, and runtime analysis of continuous EDAs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

SDR: a better trigger for adaptive variance scaling in normal EDAs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Inventory management and the impact of anticipation in evolutionary stochastic online dynamic optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Numerical Optimization with Real-Valued Estimation-of-Distribution Algorithms.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Computationally Intelligent Online Dynamic Vehicle Routing by Explicit Load Prediction in an Evolutionary Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2006

The correlation-triggered adaptive variance scaling IDEA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Combining gradient techniques for numerical multi-objective evolutionary optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Multi-objective Optimization with the Naive $$ \mathbb{M} $$ ID $$ \mathbb{E} $$ A.
Proceedings of the Towards a New Evolutionary Computation, 2006

2005
Exploiting gradient information in numerical multi--objective evolutionary optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Evolutionary algorithms for medical simulations: a case study in minimally-invasive vascular interventions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

The Naive MIDEA: A Baseline Multi-objective EA.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

Learning, Anticipation and Time-Deception in Evolutionary Online Dynamic Optimization.
Proceedings of the BNAIC 2005, 2005

2004
Learning Probabilistic Tree Grammars for Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature, 2004

2003
The balance between proximity and diversity in multiobjective evolutionary algorithms.
IEEE Trans. Evol. Comput., 2003

2002
Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms.
Int. J. Approx. Reason., 2002

Permutation Optimization by Iterated Estimation of Random Keys Marginal Product Factorizations.
Proceedings of the Parallel Problem Solving from Nature, 2002

2000
Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA.
Proceedings of the Parallel Problem Solving from Nature, 2000

1999
Linkage Information Processing In Distribution Estimation Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999


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