Visualization of Evolutionary Algorithms - Real-World Application of Standard Techniques and Multidimensional Visualization
Hartmut Pohlheim · 1999
INTRODUCTION Evolutionary algorithms work in an algorithmically simple manner. When put to work they produce a vast amount of data. Apart from simple convergence information it is a non-trivial task to extract useful information from those data to provide insight into the state and progress of the evolutionary algorithm. In this presentation we outline a set of standard visualization techniques for different data types. These data types and techniques give an instant visual impression of the evolutionary algorithm's progress and the actual state of the population. Hopefully, the proposed set will open up a discussion about necessary and useful visualization techniques between users of evolutionary algorithms. Beside the standard set, an advanced technique for visualizing high-dimensional data is outlined - multidimensional scaling. This techniques can, for instance, be applied to the visualization of the "path through the search space" of the best individuals during an optim