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Tobias Friedrich
Frank Neumann

Evolutionary computation

Showing results (1-10 of 22) with videos related to

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Evolutionary Computation|July 3, 2015
Maximizing Submodular Functions under Matroid Constraints by Evolutionary AlgorithmsTobias Friedrich, Frank Neumann
Evolutionary Computation|March 25, 2014
Multiplicative approximations, optimal hypervolume distributions, and the choice of the reference pointTobias Friedrich, Frank Neumann, Christian Thyssen
Evolutionary Computation|February 12, 2009
Analyses of simple hybrid algorithms for the vertex cover problemTobias Friedrich, Jun He, Nils Hebbinghaus, et al.
Evolutionary Computation|June 30, 2010
Approximating covering problems by randomized search heuristics using multi-objective modelsTobias Friedrich, Jun He, Nils Hebbinghaus, et al.
Evolutionary Computation|June 22, 2010
An efficient algorithm for computing hypervolume contributionsKarl Bringmann, Tobias Friedrich
Evolutionary Computation|August 5, 2024
Runtime Analysis of Single- and Multiobjective Evolutionary Algorithms for Chance-Constrained Optimization Problems with Normally Distributed Random VariablesFrank Neumann, Carsten Witt
Evolutionary Computation|September 24, 2024
Optimizing Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-Objective AlgorithmsAneta Neumann, Frank Neumann
Evolutionary Computation|June 23, 2018
Theoretical Analysis of Local Search and Simple Evolutionary Algorithms for the Generalized Travelling Salesperson ProblemMojgan Pourhassan, Frank Neumann
Evolutionary Computation|October 31, 2025
Fast Pareto Optimization Using Sliding Window Selection for Problems with Determinstic and Stochastic ConstraintsFrank Neumann, Carsten Witt
Evolutionary Computation|November 21, 2007
Speeding up evolutionary algorithms through asymmetric mutation operatorsBenjamin Doerr, Nils Hebbinghaus, Frank Neumann
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Evolutionary Computation|July 3, 2015
Maximizing Submodular Functions under Matroid Constraints by Evolutionary AlgorithmsTobias Friedrich, Frank Neumann
Evolutionary Computation|March 25, 2014
Multiplicative approximations, optimal hypervolume distributions, and the choice of the reference pointTobias Friedrich, Frank Neumann, Christian Thyssen
Evolutionary Computation|February 12, 2009
Analyses of simple hybrid algorithms for the vertex cover problemTobias Friedrich, Jun He, Nils Hebbinghaus, et al.
Evolutionary Computation|June 30, 2010
Approximating covering problems by randomized search heuristics using multi-objective modelsTobias Friedrich, Jun He, Nils Hebbinghaus, et al.
Evolutionary Computation|June 22, 2010
An efficient algorithm for computing hypervolume contributionsKarl Bringmann, Tobias Friedrich
Evolutionary Computation|August 5, 2024
Runtime Analysis of Single- and Multiobjective Evolutionary Algorithms for Chance-Constrained Optimization Problems with Normally Distributed Random VariablesFrank Neumann, Carsten Witt
Evolutionary Computation|September 24, 2024
Optimizing Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-Objective AlgorithmsAneta Neumann, Frank Neumann
Evolutionary Computation|June 23, 2018
Theoretical Analysis of Local Search and Simple Evolutionary Algorithms for the Generalized Travelling Salesperson ProblemMojgan Pourhassan, Frank Neumann
Evolutionary Computation|October 31, 2025
Fast Pareto Optimization Using Sliding Window Selection for Problems with Determinstic and Stochastic ConstraintsFrank Neumann, Carsten Witt
Evolutionary Computation|November 21, 2007
Speeding up evolutionary algorithms through asymmetric mutation operatorsBenjamin Doerr, Nils Hebbinghaus, Frank Neumann
Pageof 3