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GECCO
2004
Springer

New Epistasis Measures for Detecting Independently Optimizable Partitions of Variables

13 years 10 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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