Markus Olhofer

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 52

Top Topics

Evolutionary Algorithm

Top Venues

GECCO (Companion)

Publications

Ahmed R. Sadik, Sebastian Brulin, Markus Olhofer
Coding by Design: GPT-4 Empowers Agile Model Driven Development. MODELSWARD (2024)
Mitra Baratchi, Can Wang, Steffen Limmer, Jan N. van Rijn, Holger H. Hoos, Thomas Bäck, Markus Olhofer
Automated machine learning: past, present and future. Artif. Intell. Rev. 57 (5) (2024)
Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
Using Bayesian Optimization to Improve Hyperparameter Search in TPOT. GECCO (2024)
Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer
Automated Federated Learning via Informed Pruning. CoRR (2024)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives. IEEE Trans. Syst. Man Cybern. Syst. 54 (1) (2024)
Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour. EvoApplications@EvoStar (2024)
Alistair Benford, Markus Olhofer, Tobias Rodemann, Per Kristian Lehre
Bicriteria Optimisation of Average and Worst-Case Performance Using Coevolutionary Algorithms. CEC (2024)
Sebastian Brulin, Markus Olhofer
Bi-level Network Design for UAM Vertiport Allocation Using Activity-Based Transport Simulations. CoRR (2023)
Ahmed R. Sadik, Sebastian Brulin, Markus Olhofer
Coding by Design: GPT-4 empowers Agile Model Driven Development. CoRR (2023)
Guo Yu, Yaochu Jin, Markus Olhofer, Qiqi Liu, Wenli Du
Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis. IEEE Trans. Cybern. 53 (4) (2023)
Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
Hybridizing TPOT with Bayesian Optimization. GECCO (2023)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Recent Advances in Bayesian Optimization. ACM Comput. Surv. 55 (13s) (2023)
Qiqi Liu, Felix Lanfermann, Tobias Rodemann, Markus Olhofer, Yaochu Jin
Surrogate-Assisted Many-Objective Optimization of Building Energy Management. IEEE Comput. Intell. Mag. 18 (4) (2023)
Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck
Evaluation of geometric similarity metrics for structural clusters generated using topology optimization. Appl. Intell. 53 (1) (2023)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Recent Advances in Bayesian Optimization. CoRR (2022)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times. Evol. Comput. 30 (2) (2022)
Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck
Cooperative Multi-objective Topology Optimization Using Clustering and Metamodeling. CEC (2022)
Nikolas Hohmann, Mariusz Bujny, Jürgen Adamy, Markus Olhofer
Multi-objective 3D Path Planning for UAVs in Large-Scale Urban Scenarios. CEC (2022)
Hemant Kumar Singh, Tapabrata Ray, Md Juel Rana, Steffen Limmer, Tobias Rodemann, Markus Olhofer
Investigating the Use of Linear Programming and Evolutionary Algorithms for Multi-Objective Electric Vehicle Charging Problem. IEEE Access 10 (2022)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives. CoRR (2022)
Tapabrata Ray, Hemant Kumar Singh, Kamrul Hasan Rahi, Tobias Rodemann, Markus Olhofer
Towards identification of solutions of interest for multi-objective problems considering both objective and variable space information. Appl. Soft Comput. 119 (2022)
Guo Yu, Yaochu Jin, Markus Olhofer
A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships. IEEE Trans. Evol. Comput. 25 (1) (2021)
Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck
Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization. Swarm Evol. Comput. 65 (2021)
Nikolas Hohmann, Mariusz Bujny, Jürgen Adamy, Markus Olhofer
Hybrid Evolutionary Approach to Multi-objective Path Planning for UAVs. SSCI (2021)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times. CoRR (2021)
Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck
Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization. CoRR (2021)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowl. Based Syst. 227 (2021)
Van Duc Nguyen, Ewout Zwanenburg, Steffen Limmer, Wessel Luijben, Thomas Bäck, Markus Olhofer
A Combination of Fourier Transform and Machine Learning for Fault Detection and Diagnosis of Induction Motors. DSA (2021)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. GECCO (2020)
Guo Yu, Yaochu Jin, Markus Olhofer
Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization. IEEE Trans. Cybern. 50 (8) (2020)
Tapabrata Ray, Hemant Kumar Singh, Ahsanul Habib, Tobias Rodemann, Markus Olhofer
Online intensification of search around solutions of interest for multi/many-objective optimization. CEC (2020)
David Guirguis, Nikola Aulig, Renato Picelli, Bo Zhu, Yuqing Zhou, William Vicente, Francesco Iorio, Markus Olhofer, Wojciech Matusik, Carlos Artemio Coello Coello, Kazuhiro Saitou
Evolutionary Black-Box Topology Optimization: Challenges and Promises. IEEE Trans. Evol. Comput. 24 (4) (2020)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Inf. Sci. 519 (2020)
Marios Kefalas, Steffen Limmer, Asteris Apostolidis, Markus Olhofer, Michael Emmerich, Thomas Bäck
A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem. GECCO (Companion) (2019)
Can Wang, Thomas Bäck, Holger H. Hoos, Mitra Baratchi, Steffen Limmer, Markus Olhofer
Automated Machine Learning for Short-term Electric Load Forecasting. SSCI (2019)
Elena Raponi, Mariusz Bujny, Markus Olhofer, Simonetta Boria, Fabian Duddeck
Hybrid Kriging-assisted Level Set Method for Structural Topology Optimization. IJCCI (2019)
Hemant Kumar Singh, Tapabrata Ray, Tobias Rodemann, Markus Olhofer
Identifying solutions of interest for practical many-objective problems using recursive expected marginal utility. GECCO (Companion) (2019)
Guo Yu, Yaochu Jin, Markus Olhofer
References or Preferences - Rethinking Many-objective Evolutionary Optimization. CEC (2019)
Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck
Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks. ICDM Workshops (2019)
Guo Yu, Yaochu Jin, Markus Olhofer
-dominance. GECCO (Companion) (2019)
Yali Wang, Steffen Limmer, Markus Olhofer, Michael T. M. Emmerich, Thomas Bäck
Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms. CEC (2019)
Guo Yu, Yaochu Jin, Markus Olhofer
A Method for a Posteriori Identification of Knee Points Based on Solution Density. CEC (2018)
Mariusz Bujny, Nikola Aulig, Markus Olhofer, Fabian Duddeck
Learning-based topology variation in evolutionary level set topology optimization. GECCO (2018)
Sander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bäck
Multi-fidelity surrogate model approach to optimization. GECCO (Companion) (2018)
Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck, Michael S. Lew
Learning Fluid Flows. IJCNN (2018)
Ran Cheng, Tobias Rodemann, Michael Fischer, Markus Olhofer, Yaochu Jin
Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. IEEE Trans. Emerg. Top. Comput. Intell. 1 (2) (2017)
Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. 47 (12) (2017)
Kaname Narukawa, Yu Setoguchi, Yuki Tanigaki, Markus Olhofer, Bernhard Sendhoff, Hisao Ishibuchi
Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization. Soft Comput. 20 (7) (2016)
Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 20 (5) (2016)
Nikola Aulig, Markus Olhofer
State-based representation for structural topology optimization and application to crashworthiness. CEC (2016)
Mariusz Bujny, Nikola Aulig, Markus Olhofer, Fabian Duddeck
Hybrid evolutionary approach for level set topology optimization. CEC (2016)
Nikola Aulig, Markus Olhofer
Evolutionary computation for topology optimization of mechanical structures: An overview of representations. CEC (2016)
Ran Cheng, Markus Olhofer, Yaochu Jin
Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization. CEC (2015)
Nikola Aulig, Markus Olhofer
Neuro-evolutionary Topology Optimization with Adaptive Improvement Threshold. EvoApplications (2015)
Olga Smalikho, Markus Olhofer
Growth in co-evolution of sensory system and signal processing for optimal wing control. GECCO (2014)
Olga Smalikho, Markus Olhofer
Co-evolution of Sensory System and Signal Processing for Optimal Wing Shape Control. EvoApplications (2014)
Olga Smalikho, Markus Olhofer
Adaptive System Design by a Simultaneous Evolution of Morphology and Information Processing. SEAL (2014)
Nikola Aulig, Markus Olhofer
Neuro-evolutionary topology optimization of structures by utilizing local state features. GECCO (2014)
Edgar Reehuis, Markus Olhofer, Michael Emmerich, Bernhard Sendhoff, Thomas Bäck
Novelty and interestingness measures for design-space exploration. GECCO (2013)
Edgar Reehuis, Markus Olhofer, Bernhard Sendhoff, Thomas Bäck
Learning-Guided Exploration in Airfoil Optimization. IDEAL (2013)
Nikola Aulig, Markus Olhofer
Evolutionary generation of neural network update signals for the topology optimization of structures. GECCO (Companion) (2013)
Markus Olhofer, Dilyana Yankulova, Bernhard Sendhoff
Autonomous experimental design optimization of a flapping wing. Genet. Program. Evolvable Mach. 12 (1) (2011)
Lars Gräning, Nikola Aulig, Markus Olhofer
Towards Directed Open-Ended Search by a Novelty Guided Evolution Strategy. PPSN (2) (2010)
Lars Gräning, Markus Olhofer, Bernhard Sendhoff
Interaction Detection in Aerodynamic Design Data. IDEAL (2009)
Lars Gräning, Stefan Menzel, Martina Hasenjäger, Thomas Bihrer, Markus Olhofer, Bernhard Sendhoff
Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries. J. Math. Model. Algorithms 7 (4) (2008)
Lars Gräning, Markus Olhofer, Bernhard Sendhoff
Knowledge Extraction from Unstructured Surface Meshes. IDEAL (2007)
Stefan Menzel, Markus Olhofer, Bernhard Sendhoff
Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. PPSN (2006)
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
On Evolutionary Optimization of Large Problems Using Small Populations. ICNC (2) (2005)
Michael Nashvili, Markus Olhofer, Bernhard Sendhoff
Morphing methods in evolutionary design optimization. GECCO (2005)
Frank Hoffmann, Xiao Zhi Gao, Markus Olhofer, Antony Satyadas
Application reviews. Appl. Soft Comput. 5 (3) (2005)
Hans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff
On the Impact of Systematic Noise on the Evolutionary Optimization Performance-A Sphere Model Analysis. Genet. Program. Evolvable Mach. 5 (4) (2004)
Razvan Enache, Bernhard Sendhoff, Markus Olhofer, Martina Hasenjäger
Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures. PPSN (2004)
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff, Markus Olhofer
Voronoi-based estimation of distribution algorithm for multi-objective optimization. IEEE Congress on Evolutionary Computation (2004)
Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
On Test Functions for Evolutionary Multi-objective Optimization. PPSN (2004)
Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin, Bernhard Sendhoff
Comparative studies on micro heat exchanger optimisation. IEEE Congress on Evolutionary Computation (2003)
Hans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff
, λ)-ES Optimizing Functions Disturbed by Generalized Noise. FOGA (2002)
Bernhard Sendhoff, Hans-Georg Beyer, Markus Olhofer
The Influence of stochastic Quality Functions on Evolutionary Search. SEAL (2002)
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
A framework for evolutionary optimization with approximate fitness functions. IEEE Trans. Evol. Comput. 6 (5) (2002)
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
Managing approximate models in evolutionary aerodynamic design optimization. CEC (2001)
Markus Olhofer, Yaochu Jin, Bernhard Sendhoff
Adaptive encoding for aerodynamic shape optimization using evolution strategies. CEC (2001)
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
On Evolutionary Optimization with Approximate Fitness Functions. GECCO (2000)