Michael T. M. Emmerich

Orcid: 0000-0002-7342-2090

Affiliations:
  • University of Jyväskylä, Faculty of Information Technology, Finland
  • Leiden University, Leiden Institute of Advanced Computer Science (LIACS), The Netherlands


According to our database1, Michael T. M. Emmerich authored at least 212 papers between 1998 and 2024.

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Bibliography

2024
Multi-objective Optimization for Green Delivery Routing Problems with Flexible Time Windows.
Appl. Artif. Intell., December, 2024

A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods.
IEEE Trans. Evol. Comput., June, 2024

Multicriteria Optimization and Decision Making: Principles, Algorithms and Case Studies.
CoRR, 2024

2023
A Systematic Approach to Identify Shipping Emissions Using Spatio-Temporally Resolved TROPOMI Data.
Remote. Sens., July, 2023

Dominance-based variable analysis for large-scale multi-objective problems.
Nat. Comput., June, 2023

Preface.
Nat. Comput., June, 2023

MultiOptForest: An interactive multi-objective optimization tool for forest planning and scenario analysis.
Dataset, May, 2023

Analysis of Hyper-Parameters for AlphaZero-Like Deep Reinforcement Learning.
Int. J. Inf. Technol. Decis. Mak., March, 2023

Experimental Results for the study "The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems".
Dataset, January, 2023

Many-Criteria Dominance Relations.
Proceedings of the Many-Criteria Optimization and Decision Analysis: State-of-the-Art, 2023

Introduction to Many-Criteria Optimization and Decision Analysis.
Proceedings of the Many-Criteria Optimization and Decision Analysis: State-of-the-Art, 2023

Many-Criteria Optimisation and Decision Analysis Ontology and Knowledge Management.
Proceedings of the Many-Criteria Optimization and Decision Analysis: State-of-the-Art, 2023

On the Behavior of the Mixed-Integer SMS-EMOA on Box-Constrained Quadratic Bi-Objective Models.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

The Prism-Net Search Space Representation for Multi-objective Building Spatial Design.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022




Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations.
J. Glob. Optim., 2022

On the Construction of Pareto-Compliant Combined Indicators.
Evol. Comput., 2022

Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications.
CoRR, 2022

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization.
CoRR, 2022

Efficient Stochastic Simulation of Network Topology Effects on the Peak Number of Infections in Epidemic Outbreaks.
CoRR, 2022

Simulation of the Effects of Targeted Immunization on the Peak Number of Infections in Complex Networks.
Proceedings of the Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022, 2022

2021
On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2021

Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization.
Swarm Evol. Comput., 2021

Preface to the special issue dedicated to the 14th international workshop on global optimization held in Leiden, The Netherlands, September 18-21, 2018.
J. Glob. Optim., 2021

DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology.
J. Cheminformatics, 2021

Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization.
Comput. Oper. Res., 2021

On the Effect of Complex Network Topology in Managing Epidemic Outbreaks.
Proceedings of the Modern Machine Learning Technologies and Data Science Workshop. Proc. 3rd International Workshop (MoMLeT&DS 2021). Volume I: Main Conference, 2021

Optimally Weighted Ensembles in Model-Based Regression for Drug Discovery.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Infill Criteria for Multiobjective Bayesian Optimization.
Proceedings of the High-Performance Simulation-Based Optimization, 2020

The Set-Based Hypervolume Newton Method for Bi-Objective Optimization.
IEEE Trans. Cybern., 2020

Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value.
CoRR, 2020

Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning.
CoRR, 2020

A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks.
CoRR, 2020

Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders.
CoRR, 2020

A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling.
CoRR, 2020

On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks.
CoRR, 2020

Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?
CoRR, 2020

AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables.
CoRR, 2020

Cluster-based Kriging approximation algorithms for complexity reduction.
Appl. Intell., 2020

Tackling Morpion Solitaire with AlphaZero-like Ranked Reward Reinforcement Learning.
Proceedings of the 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2020

A Tailored NSGA-III for Multi-objective Flexible Job Shop Scheduling.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Edge-Rotated Cone Orders in Multi-objective Evolutionary Algorithms for Improved Convergence and Preference Articulation.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Improving Many-Objective Evolutionary Algorithms by Means of Edge-Rotated Cones.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

On Sharing Information Between Sub-populations in MOEA/S.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Forecasting Temperatures of a Synchronous Motor with Permanent Magnets Using Machine Learning.
Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020

Trees' Condition Data Analysis Based on Drone Monitoring and Machine Learning Technology.
Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020

Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Cooperative-Coevolution-CMA-ES with Two-Stage Grouping.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient.
Swarm Evol. Comput., 2019

Efficient computation of expected hypervolume improvement using box decomposition algorithms.
J. Glob. Optim., 2019

A multiple classifier system identifies novel cannabinoid CB2 receptor ligands.
J. Cheminformatics, 2019

Application of portfolio optimization to drug discovery.
Inf. Sci., 2019

Improving the drug discovery process by using multiple classifier systems.
Expert Syst. Appl., 2019

Mirrored Orthogonal Sampling for Covariance Matrix Adaptation Evolution Strategies.
Evol. Comput., 2019

Search Dynamics on Multimodal Multiobjective Problems.
Evol. Comput., 2019

Hyper-Parameter Sweep on AlphaZero General.
CoRR, 2019

Alternative Loss Functions in AlphaZero-like Self-play.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Statistical learning in soil sampling design aided by pareto optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

On the construction of pareto-compliant quality indicators.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On the potential of evolution strategies for neural network weight optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Diversity-Indicator Based Multi-Objective Evolutionary Algorithm: DI-MOEA.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

CRI-EMOA: A Pareto-Front Shape Invariant Evolutionary Multi-objective Algorithm.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

The Expected R2-Indicator Improvement for Multi-objective Bayesian Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Analysing Optimisation Data for Multicriteria Building Spatial Design.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Development of Information System for Textual Content Categorizing Based on Ontology.
Proceedings of the 3rd International Conference on Computational Linguistics and Intelligent Systems (COLINS-2019). Volume I: Main Conference, 2019

A Multiobjective Approach to Classification in Drug Discovery.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

On the Cooperation of Multiple Indicator-based Multi-Objective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Evolution Strategies.
Proceedings of the Handbook of Heuristics., 2018

Multiobjective evolutionary algorithms based on target region preferences.
Swarm Evol. Comput., 2018

A tutorial on multiobjective optimization: fundamentals and evolutionary methods.
Nat. Comput., 2018

Multiobjective sparse ensemble learning by means of evolutionary algorithms.
Decis. Support Syst., 2018

Monte Carlo Q-learning for General Game Playing.
CoRR, 2018

3D fast convex-hull-based evolutionary multiobjective optimization algorithm.
Appl. Soft Comput., 2018

Toolbox for super-structured and super-structure free multi-disciplinary building spatial design optimisation.
Adv. Eng. Informatics, 2018

Preference-Based Evolutionary Many-Objective Optimization for Agile Satellite Mission Planning.
IEEE Access, 2018

On Large-Scale Airline Crew Pairing Generation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018


Integrating region preferences in multiobjective evolutionary algorithms based on decomposition.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Preference-based evolutionary algorithms for many-objective mission planning of agile earth observation satellites.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Method for Determining Linguometric Coefficient Dynamics of Ukrainian Text Content Authorship.
Proceedings of the Advances in Intelligent Systems and Computing III, 2018

The Virtual Library System Design and Development.
Proceedings of the Advances in Intelligent Systems and Computing III, 2018

Updating a robust optimization model for improving bus schedules.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

Web Content Support Method in Electronic Business Systems.
Proceedings of the 2nd International Conference on Computational Linguistics and Intelligent Systems, 2018

Content Formation Method in the Web Systems.
Proceedings of the 2nd International Conference on Computational Linguistics and Intelligent Systems, 2018

Cooling Strategies for the Moment-Generating Function in Bayesian Global Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Assessing the Potential of Classical Q-learning in General Game Playing.
Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018

2017
Dynamic vehicle routing with time windows in theory and practice.
Nat. Comput., 2017

Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104].
Inf. Sci., 2017

Corrigendum to "A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification" [Applied Soft Computing Volume 48 (2016) 111-123].
Appl. Soft Comput., 2017

Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets.
Appl. Soft Comput., 2017

Immunization of networks using genetic algorithms and multiobjective metaheuristics.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A new acquisition function for Bayesian optimization based on the moment-generating function.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Indicator-Based Evolutionary Level Set Approximation: Mixed Mutation Strategy and Extended Analysis.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Time complexity reduction in efficient global optimization using cluster kriging.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Hypervolume Indicator Gradient Ascent Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Maximum Volume Subset Selection for Anchored Boxes.
Proceedings of the 33rd International Symposium on Computational Geometry, 2017

Towards many-objective optimization of eigenvector centrality in multiplex networks.
Proceedings of the 4th International Conference on Control, 2017

A new approach to target region based multiobjective evolutionary algorithms.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Preference incorporation to solve multi-objective mission planning of agile earth observation satellites.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms.
Inf. Sci., 2016

Multi-objective inventory routing with uncertain demand using population-based metaheuristics.
Integr. Comput. Aided Eng., 2016

An Ontology of Preference-Based Multiobjective Evolutionary Algorithms.
CoRR, 2016

A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification.
Appl. Soft Comput., 2016

Modularities maximization in multiplex network analysis using Many-Objective Optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

SMS-EMOA with multiple dynamic reference points.
Proceedings of the 12th International Conference on Natural Computation, 2016

Preference-based multiobjective optimization using truncated expected hypervolume improvement.
Proceedings of the 12th International Conference on Natural Computation, 2016

Selection of a DFO Method for the Efficient Solution of Continuous Constrained Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Fuzzy clustering for Optimally Weighted Cluster Kriging.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Truncated expected hypervolume improvement: Exact computation and application.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Balancing risk and expected gain in kriging-based global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Multicriteria Generalization of Bayesian Global Optimization.
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015
Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance.
IEEE Trans. Evol. Comput., 2015

Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control.
CoRR, 2015

Efficient multi-criteria optimization on noisy machine learning problems.
Appl. Soft Comput., 2015

On Steering Dominated Points in Hypervolume Indicator Gradient Ascent for Bi-Objective Optimization.
Proceedings of the NEO 2015, 2015

Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Optimally Weighted Cluster Kriging for Big Data Regression.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

On using Markov Decision Processes to Model Integration Solutions for Disparate Resources in Software Ecosystems.
Proceedings of the ICEIS 2015, 2015

On Gradient-Based and Swarm-Based Algorithms for Set-Oriented Bicriteria Optimization.
Proceedings of the EVOLVE, 2015

Parameter Identification of Stochastic Gene Regulation Models by Indicator-Based Evolutionary Level Set Approximation.
Proceedings of the EVOLVE, 2015

Community Detection in NK Landscapes - An Empirical Study of Complexity Transitions in Interactive Networks.
Proceedings of the EVOLVE, 2015

Quadcriteria Optimization of Binary Classifiers: Error Rates, Coverage, and Complexity.
Proceedings of the EVOLVE, 2015

Multi-point Efficient Global Optimization Using Niching Evolution Strategy.
Proceedings of the EVOLVE, 2015

Faster Exact Algorithms for Computing Expected Hypervolume Improvement.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Selecting Optimal Subset of Security Controls.
Proceedings of the Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, 2015

An EAI Based Integration Solution for Science and Research Outcomes Information Management.
Proceedings of the Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, 2015

A Bayesian Approach to Portfolio Selection in Multicriteria Group Decision Making.
Proceedings of the Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, 2015

Towards robustness optimization of complex networks based on redundancy backup.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Ant based solver for dynamic vehicle routing problem with time windows and multiple priorities.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Optimizing Highly Constrained Truck Loadings Using a Self-Adaptive Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Reducing complexity in many objective optimization using community detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

User-derived mutation in highly constrained Truck Loading Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm.
CoRR, 2014

Faster Computation of Expected Hypervolume Improvement.
CoRR, 2014

Mirrored orthogonal sampling with pairwise selection in evolution strategies.
Proceedings of the Symposium on Applied Computing, 2014

A Portfolio Optimization Approach to Selection in Multiobjective Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Power Distribution Network Reconfiguration by Evolutionary Integer Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2013
On Quality Indicators for Black-Box Level Set Approximation.
Proceedings of the EVOLVE, 2013

Mixed Integer Evolution Strategies for Parameter Optimization.
Evol. Comput., 2013

Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance
CoRR, 2013

Ant Colony Algorithms for the Dynamic Vehicle Routing Problem with Time Windows.
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

Novelty and interestingness measures for design-space exploration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A Theoretical Analysis of Curvature Based Preference Models.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Cone-Based Hypervolume Indicators: Construction, Properties, and Efficient Computation.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012
Multi-Objective Evolutionary Design of Adenosine Receptor Ligands.
J. Chem. Inf. Model., 2012

Problem-Specific Search Operators for Metaheuristic Software Architecture Design.
Proceedings of the Search Based Software Engineering - 4th International Symposium, 2012

Using Multiobjective Optimization and Energy Minimization to Design an Isoform-Selective Ligand of the 14-3-3 Protein.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Applications and Case Studies, 2012

Time Complexity and Zeros of the Hypervolume Indicator Gradient Field.
Proceedings of the EVOLVE, 2012

A meta-genetic algorithm for solving the Capacitated Vehicle Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A Fast Dimension-Sweep Algorithm for the Hypervolume Indicator in Four Dimensions.
Proceedings of the 24th Canadian Conference on Computational Geometry, 2012

2011
Using the uncertainty handling CMA-ES for finding robust optima.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Computing Hypervolume Contributions in Low Dimensions: Asymptotically Optimal Algorithm and Complexity Results.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

An evolutionary multiobjective optimization approach to component-based software architecture design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Hypervolume-based expected improvement: Monotonicity properties and exact computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Evolutionary design of selective adenosine receptor ligands.
J. Cheminformatics, 2010

Adaptive Niche Radii and Niche Shapes Approaches for Niching with the CMA-ES.
Evol. Comput., 2010

A robust multi-objective resource allocation scheme incorporating uncertainty and service differentiation.
Concurr. Comput. Pract. Exp., 2010

A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization.
BMC Bioinform., 2010

On Expected-Improvement Criteria for Model-based Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2010

Exploiting Overlap When Searching for Robust Optima.
Proceedings of the Parallel Problem Solving from Nature, 2010

An Archive Maintenance Scheme for Finding Robust Solutions.
Proceedings of the Parallel Problem Solving from Nature, 2010

Getting lost or getting trapped: on the effect of moves toincomparable points in multiobjective hillclimbing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

A robust optimization approach using Kriging metamodels for robustness approximation in the CMA-ES.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Chemogenomics: Looking at biology through the lens of chemistry.
Stat. Anal. Data Min., 2009

How to Do Recombination in Evolution Strategies: An Empirical Study.
Proceedings of the Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira.s Scientific Legacy, 2009

On the limitations of adaptive resampling in using the student's t-test evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

Combining Aggregation with Pareto Optimization: A Case Study in Evolutionary Molecular Design.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

2008
Evolutionary algorithms for real world applications [Application Notes].
IEEE Comput. Intell. Mag., 2008

Engineered versus standard evolutionary algorithms: A case study in batch scheduling with recourse.
Comput. Chem. Eng., 2008

Evolutionäre Algorithmen zur Echtzeitoptimierung von Produktionsplänen für Chargenprozesse (Evolutionary Algorithms for the Online Optimization of Batch Production Schedules).
Autom., 2008

Mixed-Integer Evolution Strategies with Dynamic Niching.
Proceedings of the Parallel Problem Solving from Nature, 2008

A novel multi-objective optimization scheme for grid resource allocation.
Proceedings of the 6th International Workshop on Middleware for Grid Computing (MGC 2008), 2008

A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization.
Proceedings of the Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2008

Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning.
Proceedings of the Applications of Evolutionary Computing, 2008

Metamodel-assisted mixed integer evolution strategies and their application to intravascular ultrasound image analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
SMS-EMOA: Multiobjective selection based on dominated hypervolume.
Eur. J. Oper. Res., 2007

Gradient-Based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric.
Proceedings of the Hybrid Metaheuristics, 4th International Workshop, 2007

Towards Dynamic Fitness Based Partitioning for IntraVascular UltraSound Image Analysis.
Proceedings of the Applications of Evolutinary Computing, 2007

Test Problems Based on Lamé Superspheres.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

The application of evolutionary multi-criteria optimization to dynamic molecular alignment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Self-Adaptive Niching CMA-ES with Mahalanobis Metric.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels.
IEEE Trans. Evol. Comput., 2006

Mixed-Integer NK Landscapes.
Proceedings of the Parallel Problem Solving from Nature, 2006

Mixed-integer optimization of coronary vessel image analysis using evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Mixed-Integer Evolution Strategies and Their Application to Intravascular Ultrasound Image Analysis.
Proceedings of the Applications of Evolutionary Computing, 2006

On Interactive Evolution Strategies.
Proceedings of the Applications of Evolutionary Computing, 2006

2005
Single- and multi-objective evolutionary design optimization assisted by gaussian random field metamodels
PhD thesis, 2005

Counteracting genetic drift and disruptive recombination in (µ<sub>, </sub><sup>+</sup>lambda)-EA on multimodal fitness landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

An EMO Algorithm Using the Hypervolume Measure as Selection Criterion.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

Multi-objective optimisation using S-metric selection: application to three-dimensional solution spaces.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
On the Extinction of Evolutionary Algorithm Subpopulations on Multimodal Landscapes.
Informatica (Slovenia), 2004

2002
Metamodel-Assisted Evolution Strategies.
Proceedings of the Parallel Problem Solving from Nature, 2002

2001
Design of Graph-Based Evolutionary Algorithms: A Case Study for Chemical Process Networks.
Evol. Comput., 2001

1998
Service Trading for Mobile Agents with LDAP as Service Directory.
Proceedings of the 7th Workshop on Enabling Technologies (WETICE '98), 1998


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