Multi-layered evolutionary system suitable to symbolic model regression

Authors:
Tomas Brandejsky
Affiliations:
Czech Technical University, Prague, Czech Republic
Venue:
AICT'11 Proceedings of the 2nd international conference on Applied informatics and computing theory
Year:
2011

Citing 3
Cited 1

Genetic programming: on the programming of computers by means of natural selection

Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs

Genetic programming II: automatic discovery of reusable programs
Genetic Programming III: Darwinian Invention & Problem Solving

Genetic Programming III: Darwinian Invention & Problem Solving

Specific modification of a GPA-ES evolutionary system suitable for deterministic chaos regression

Computers & Mathematics with Applications

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Abstract

Presented paper deals with description of multilayered evolutionary system optimized to symbolic regression of difficult systems like e.g. deterministic chaos ones. This paper starts with brief introduction of previous work and ideas. Then the structure of Genetic Programming Algorithm - Evolutionary Strategy hybrid system is described and analyzed including such problems as suitability to parallel implementation, optimal set of building blocks, or initial population generating rules. GPA-ES system combines GPA to model development with ES used for model parameter identification. Such hybrid system eliminates many weaknesses of standard GPA. The paper ends with examples of GPAES application.