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Dimo Brockhoff
Tobias Wagner
Heike Trautmann

Evolutionary computation

Showing results (1-10 of 11) with videos related to

Pageof 2
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Evolutionary Computation|July 2, 2014
R2 Indicator-Based Multiobjective SearchDimo Brockhoff, Tobias Wagner, Heike Trautmann
Evolutionary Computation|May 6, 2009
Objective reduction in evolutionary multiobjective optimization: theory and applicationsDimo Brockhoff, Eckart Zitzler
Evolutionary Computation|October 25, 2021
Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test SuitesDimo Brockhoff, Anne Auger, Nikolaus Hansen, et al.
Evolutionary Computation|October 27, 2018
Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine LearningPascal Kerschke, Heike Trautmann
Evolutionary Computation|July 24, 2023
Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in PythonRaphael Patrick Prager, Heike Trautmann
Evolutionary Computation|February 4, 2025
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization ProblemsMoritz Vinzent Seiler, Pascal Kerschke, Heike Trautmann
Evolutionary Computation|June 13, 2025
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single-Objective and Multiobjective Continuous Optimization ProblemsMoritz Vinzent Seiler, Pascal Kerschke, Heike Trautmann
Evolutionary Computation|November 27, 2018
Automated Algorithm Selection: Survey and PerspectivesPascal Kerschke, Holger H Hoos, Frank Neumann, et al.
Evolutionary Computation|August 25, 2017
Leveraging TSP Solver Complementarity through Machine LearningPascal Kerschke, Lars Kotthoff, Jakob Bossek, et al.
Evolutionary Computation|December 2, 2011
On the effect of response transformations in sequential parameter optimizationTobias Wagner, Simon Wessing
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Evolutionary Computation|July 2, 2014
R2 Indicator-Based Multiobjective SearchDimo Brockhoff, Tobias Wagner, Heike Trautmann
Evolutionary Computation|May 6, 2009
Objective reduction in evolutionary multiobjective optimization: theory and applicationsDimo Brockhoff, Eckart Zitzler
Evolutionary Computation|October 25, 2021
Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test SuitesDimo Brockhoff, Anne Auger, Nikolaus Hansen, et al.
Evolutionary Computation|October 27, 2018
Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine LearningPascal Kerschke, Heike Trautmann
Evolutionary Computation|July 24, 2023
Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in PythonRaphael Patrick Prager, Heike Trautmann
Evolutionary Computation|February 4, 2025
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization ProblemsMoritz Vinzent Seiler, Pascal Kerschke, Heike Trautmann
Evolutionary Computation|June 13, 2025
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single-Objective and Multiobjective Continuous Optimization ProblemsMoritz Vinzent Seiler, Pascal Kerschke, Heike Trautmann
Evolutionary Computation|November 27, 2018
Automated Algorithm Selection: Survey and PerspectivesPascal Kerschke, Holger H Hoos, Frank Neumann, et al.
Evolutionary Computation|August 25, 2017
Leveraging TSP Solver Complementarity through Machine LearningPascal Kerschke, Lars Kotthoff, Jakob Bossek, et al.
Evolutionary Computation|December 2, 2011
On the effect of response transformations in sequential parameter optimizationTobias Wagner, Simon Wessing
Pageof 2