Inferring systems of ordinary differential equations via grammar-based immune programming

Authors:
Heder S. Bernardino;Helio J. C. Barbosa
Affiliations:
Laboratório Nacional de Computação Científica, Petrópolis, RJ, Brazil;Laboratório Nacional de Computação Científica, Petrópolis, RJ, Brazil
Venue:
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
Year:
2011

Citing 14
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
Evolutionary Modeling of Systems of Ordinary Differential Equations with Genetic Programming

Genetic Programming and Evolvable Machines
Grammatical Evolution: Evolving Programs for an Arbitrary Language

EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
An Advanced Clonal Selection Algorithm with Ad-Hoc Network-Based Hypermutation Operators for Synthesis of Topology and Sizing of Analog Electrical Circuits

ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Inference of differential equation models by genetic programming

Information Sciences: an International Journal
Clone selection programming and its application to symbolic regression

Expert Systems with Applications: An International Journal
Induction machine fault detection using clone selection programming

Expert Systems with Applications: An International Journal
Immune programming models of Cryptosporidium parvum inactivation by ozone and chlorine dioxide

Information Sciences: an International Journal
Grammar-Based Immune Programming for Symbolic Regression

ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Immune programming

Information Sciences: an International Journal
Artificial immune system programming for symbolic regression

EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Grammar-based immune programming

Natural Computing: an international journal
Grammatical evolution

IEEE Transactions on Evolutionary Computation
Learning and optimization using the clonal selection principle

IEEE Transactions on Evolutionary Computation

Inference of hidden variables in systems of differential equations with genetic programming

Genetic Programming and Evolvable Machines

Quantified Score

Hi-index	0.00

Visualization

Abstract

Grammar-based Immune Programming (GIP) is a method for evolving programs in an arbitrary language using an immunological inspiration. GIP is applied here to solve the relevant modeling problem of finding a system of differential equations -in analytical form- which better explains a given set of data obtained from a certain phenomenon. Computational experiments are performed to evaluate the approach, showing that GIP is an efficient technique for symbolic modeling.