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GECCO
2004
Springer

New Epistasis Measures for Detecting Independently Optimizable Partitions of Variables

14 years 2 months ago
New Epistasis Measures for Detecting Independently Optimizable Partitions of Variables
An optimization problem is often represented with a set of variables, and the interaction between the variables is referred to as epistasis. In this paper, we propose two new measures of epistasis: internal epistasis and external epistasis. Then we show that they can quantify the decomposability of a problem, which has a theoretical meaning about how strongly the problem is independently optimizable with a partition of variables. We present examples of the problem decomposition and the results of experiments that support the consistency of the measures.
Dong-il Seo, Sung-Soon Choi, Byung Ro Moon
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where GECCO
Authors Dong-il Seo, Sung-Soon Choi, Byung Ro Moon
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