13 citations · 22 across the 3 of their papers we have counts for
9 papers
Notes on information geometry and evolutionary processes
Marc Toussaint
In order to analyze and extract different structural properties of distributions, one can introduce different coordinate systems over the manifold of distributions. In Evolutionary…
Recent Results on No-Free-Lunch Theorems for Optimization
Christian Igel, Marc Toussaint
The sharpened No-Free-Lunch-theorem (NFL-theorem) states that the performance of all optimization algorithms averaged over any finite set F of functions is equal if and only if F i…
The structure of evolutionary exploration: On crossover, buildings blocks and Estimation-Of-Distribution Algorithms
Marc Toussaint
The notion of building blocks can be related to the structure of the offspring probability distribution: loci of which variability is strongly correlated constitute a building bloc…
Neutrality: A Necessity for Self-Adaptation
Marc Toussaint, Christian Igel
Self-adaptation is used in all main paradigms of evolutionary computation to increase efficiency. We claim that the basis of self-adaptation is the use of neutrality. In the absenc…
A neural model for multi-expert architectures
Marc Toussaint
We present a generalization of conventional artificial neural networks that allows for a functional equivalence to multi-expert systems. The new model provides an architectural fre…
On model selection and the disability of neural networks to decompose tasks
Marc Toussaint
A neural network with fixed topology can be regarded as a parametrization of functions, which decides on the correlations between functional variations when parameters are adapted.…