Johannes Bader

Affiliations:
  • ETH Zurich, Switzerland


According to our database1, Johannes Bader authored at least 14 papers between 2008 and 2012.

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Bibliography

2012
Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications.
Theor. Comput. Sci., 2012

2011
HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization.
Evol. Comput., 2011

2010
On Set-Based Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2010

Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search.
Proceedings of the Parallel Problem Solving from Nature, 2010

Theoretically Investigating Optimal <i>µ</i>-Distributions for the Hypervolume Indicator: First Results for Three Objectives.
Proceedings of the Parallel Problem Solving from Nature, 2010

Integrating decision space diversity into hypervolume-based multiobjective search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Hypervolume-based search for multiobjective optimization: Theory and methods.
PhD thesis, 2009

Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Articulating user preferences in many-objective problems by sampling the weighted hypervolume.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point.
Proceedings of the Foundations of Genetic Algorithms, 2009

On Using Populations of Sets in Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

2008
SPAM: Set Preference Algorithm for Multiobjective Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2008

Faster Hypervolume-Based Search Using Monte Carlo Sampling.
Proceedings of the Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2008

Reducing Bloat in GP with Multiple Objectives.
Proceedings of the Multiobjective Problem Solving from Nature, 2008


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