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cs.NE2023★ 6 cited
First Steps Towards a Runtime Analysis of Neuroevolution
Paul Fischer, Emil Lundt Larsen, Carsten Witt
We consider a simple setting in neuroevolution where an evolutionary algorithm optimizes the weights and activation functions of a simple artificial neural network. We then define…
cs.NE2023
Fast Pareto Optimization Using Sliding Window Selection
Frank Neumann, Carsten Witt
Pareto optimization using evolutionary multi-objective algorithms has been widely applied to solve constrained submodular optimization problems. A crucial factor determining the ru…
cs.NE2023
3-Objective Pareto Optimization for Problems with Chance Constraints
Frank Neumann, Carsten Witt
Evolutionary multi-objective algorithms have successfully been used in the context of Pareto optimization where a given constraint is relaxed into an additional objective. In this…