Markus Olhofer

According to our database1, Markus Olhofer authored at least 53 papers between 2000 and 2021.

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

Timeline

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Bibliography

2021
A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships.
IEEE Trans. Evol. Comput., 2021

Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization.
CoRR, 2021

2020
Evolutionary Black-Box Topology Optimization: Challenges and Promises.
IEEE Trans. Evol. Comput., 2020

Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization.
IEEE Trans. Cybern., 2020

An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization.
Inf. Sci., 2020

Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Online intensification of search around solutions of interest for multi/many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Automated Machine Learning for Short-term Electric Load Forecasting.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Hybrid Kriging-assisted Level Set Method for Structural Topology Optimization.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

An a priori knee identification multi-objective evolutionary algorithm based on <i>α</i>-dominance.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Identifying solutions of interest for practical many-objective problems using recursive expected marginal utility.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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

References or Preferences - Rethinking Many-objective Evolutionary Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

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

2018
Learning Fluid Flows.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multi-fidelity surrogate model approach to optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Learning-based topology variation in evolutionary level set topology optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

A Method for a Posteriori Identification of Knee Points Based on Solution Density.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Test Problems for Large-Scale Multiobjective and Many-Objective Optimization.
IEEE Trans. Cybern., 2017

2016
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2016

Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization.
Soft Comput., 2016

Hybrid evolutionary approach for level set topology optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evolutionary computation for topology optimization of mechanical structures: An overview of representations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

State-based representation for structural topology optimization and application to crashworthiness.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Neuro-evolutionary Topology Optimization with Adaptive Improvement Threshold.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Adaptive System Design by a Simultaneous Evolution of Morphology and Information Processing.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Growth in co-evolution of sensory system and signal processing for optimal wing control.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Neuro-evolutionary topology optimization of structures by utilizing local state features.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Co-evolution of Sensory System and Signal Processing for Optimal Wing Shape Control.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

2013
Learning-Guided Exploration in Airfoil Optimization.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

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

Evolutionary generation of neural network update signals for the topology optimization of structures.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2011
Autonomous experimental design optimization of a flapping wing.
Genet. Program. Evolvable Mach., 2011

2010
Towards Directed Open-Ended Search by a Novelty Guided Evolution Strategy.
Proceedings of the Parallel Problem Solving from Nature, 2010

2009
Interaction Detection in Aerodynamic Design Data.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

2008
Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries.
J. Math. Model. Algorithms, 2008

2007
Knowledge Extraction from Unstructured Surface Meshes.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

2006
Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation.
Proceedings of the Parallel Problem Solving from Nature, 2006

2005
Application reviews.
Appl. Soft Comput., 2005

On Evolutionary Optimization of Large Problems Using Small Populations.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Morphing methods in evolutionary design optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
On the Impact of Systematic Noise on the Evolutionary Optimization Performance-A Sphere Model Analysis.
Genet. Program. Evolvable Mach., 2004

On Test Functions for Evolutionary Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2004

Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures.
Proceedings of the Parallel Problem Solving from Nature, 2004

Voronoi-based estimation of distribution algorithm for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Comparative studies on micro heat exchanger optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, 8, 2003

2002
A framework for evolutionary optimization with approximate fitness functions.
IEEE Trans. Evol. Comput., 2002

The Influence of stochastic Quality Functions on Evolutionary Search.
Proceedings of the Recent Advances in Simulated Evolution and Learning [extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning, 2002

On the Behavior of (μ/μ<sub>1</sub>, λ)-ES Optimizing Functions Disturbed by Generalized Noise.
Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, 2002

2000
On Evolutionary Optimization with Approximate Fitness Functions.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000


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