Quarterly (winter, spring, summer, fall)
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7 x 10, illustrated
ISSN
1064-5462
E-ISSN
1530-9185
2014 Impact factor:
1.39

Artificial Life

Spring 2006, Vol. 12, No. 2, Pages 203-209
(doi: 10.1162/artl.2006.12.2.203)
© 2006 Massachusetts Institute of Technology
Multidimensional Scaling for Evolutionary Algorithms— Visualization of the Path through Search Space and Solution Space Using Sammon Mapping
Article PDF (485.27 KB)
Abstract

Multidimensional scaling as a technique for the presentation of high-dimensional data with standard visualization techniques is presented. The technique used is often known as Sammon mapping. We explain the mathematical foundations of multidimensional scaling and its robust calculation. We also demonstrate the use of this technique in the area of evolutionary algorithms. First, we present the visualization of the path through the search space of the best individuals during an optimization run. We then apply multidimensional scaling to the comparison of multiple runs regarding the variables of individuals and multi-criteria objective values (path through the solution space).