4siWe consider the problem of visualizing the population dynamics along an evolutionary run using a dimensionality reduction technique for mapping individuals from the original search space to a 2-D space. We quantitatively assess four of these techniques in terms of their ability to preserve useful information about (a) population movements and (b) exploration-exploitation trade-off. We propose two compact visualizations aimed at highlighting these two aspects of population dynamics and evaluate them qualitatively. The results are very promising as the proposed framework is indeed able to represent crucial properties of population dynamics in a way that is both highly informative and simple to understand.reservedmixedDe Lorenzo, Andrea; Me...
The success of every stochastic population-based nature-inspired algorithms is characterized through...
Evolution is a fundamentally population level process in which variation, drift, and selection produ...
Multidimensional scaling as a technique for the presentation of high-dimensional data with standard ...
International audienceWe investigate how visual analytic tools can deal with the huge amount of data...
Experimental analysis of evolutionary algorithms usually aims at tuning the parameter setting or at ...
An experimental analysis of evolutionary algorithms usually gen-erates a huge amount of multidimensi...
Convergence and stagnation are two of the biggest obstacles to the development of open-ended, evolvi...
4noWe explore the use of Intrinsic Dimension (ID) for gaining insights in how populations evolve in ...
We introduce a method for visualizing evolutionary activity of genotypes. Following a proposal of Be...
International audienceAn experimental analysis of evolutionary algorithms usually generates a huge a...
Abstract- The non-linear complexity of evolutionary algorithms (EAs) make them a challenge to unders...
Evolution is driven by four major processes that create, maintain, or eliminate genetic diversity wi...
The theme of the book is the distribution and abundance of organisms in space and time. The core of ...
This work assesses the efficacy of evolutionary algorithms (EAs) using an intuitive Multi-Dimensiona...
Population structure (also called genetic structure and population stratification) is the presence o...
The success of every stochastic population-based nature-inspired algorithms is characterized through...
Evolution is a fundamentally population level process in which variation, drift, and selection produ...
Multidimensional scaling as a technique for the presentation of high-dimensional data with standard ...
International audienceWe investigate how visual analytic tools can deal with the huge amount of data...
Experimental analysis of evolutionary algorithms usually aims at tuning the parameter setting or at ...
An experimental analysis of evolutionary algorithms usually gen-erates a huge amount of multidimensi...
Convergence and stagnation are two of the biggest obstacles to the development of open-ended, evolvi...
4noWe explore the use of Intrinsic Dimension (ID) for gaining insights in how populations evolve in ...
We introduce a method for visualizing evolutionary activity of genotypes. Following a proposal of Be...
International audienceAn experimental analysis of evolutionary algorithms usually generates a huge a...
Abstract- The non-linear complexity of evolutionary algorithms (EAs) make them a challenge to unders...
Evolution is driven by four major processes that create, maintain, or eliminate genetic diversity wi...
The theme of the book is the distribution and abundance of organisms in space and time. The core of ...
This work assesses the efficacy of evolutionary algorithms (EAs) using an intuitive Multi-Dimensiona...
Population structure (also called genetic structure and population stratification) is the presence o...
The success of every stochastic population-based nature-inspired algorithms is characterized through...
Evolution is a fundamentally population level process in which variation, drift, and selection produ...
Multidimensional scaling as a technique for the presentation of high-dimensional data with standard ...