Finding Building Blocks through Eigenstructure Adaptation

11 years 4 months ago
Finding Building Blocks through Eigenstructure Adaptation
A fundamental aspect of many evolutionary approaches to synthesis of complex systems is the need to compose atomic elements into useful higher-level building blocks. However, the ability of genetic algorithms to promote useful building blocks is based critically on genetic linkage – the assumption that functionally related alleles are also arranged compactly on the genome. In many practical problems, linkage is not known a priori or may change dynamically. Here we propose that the problems’ Hessian matrix reveals this linkage, and that an eigenstructure analysis of the Hessian provides a transformation of the problem to a space where first-order genetic linkage is optimal. Genetic algorithms that dynamically transform the problem space can operate much more efficiently. We demonstrate the proposed approach on a real-valued adaptation of Kaufmann’s NK landscapes.
Danica Wyatt, Hod Lipson
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Authors Danica Wyatt, Hod Lipson
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