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Genetic least squares for system identification

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 1999
The recursive least-squares algorithm with a forgetting factor has been extensively applied and studied for the on-line parameter estimation of linear dynamic systems. This paper explores the use of genetic algorithms to improve the performance of the recursive least-squares algorithm in the parameter estimation of time-varying systems.
Kevin Warwick   +2 more
openaire   +1 more source

An algorithm for the identification of genetically modified animals

Trends in Biotechnology, 2013
The diffusion of genetically modified (GM) animals has generated a demand for accurate and unique identification to assure compliance with relevant national and international legislation. Individual identification of GM animals is essential to improve safety and traceability, as well as to fulfill the present and future expectations of producers ...
Flavio, Forabosco   +2 more
openaire   +2 more sources

Coevolutionary genetic watermarking for owner identification

Neural Computing and Applications, 2014
In this paper, we propose a coevolutionary genetic watermarking scheme based on wavelet packet transform. Wavelet packet transform can be viewed as a generalization of the discrete wavelet transform, and a best wavelet basis in the sense of some cost metric can be found within a large library of permissible bases.
Yueh-Hong Chen, Hsiang-Cheh Huang
openaire   +1 more source

Population Identification Using Genetic Data

Annual Review of Genomics and Human Genetics, 2012
A large number of algorithms have been developed to classify individuals into discrete populations using genetic data. Recent results show that the information used by both model-based clustering methods and principal components analysis can be summarized by a matrix of pairwise similarity measures between individuals.
Lawson, D.   +1 more
openaire   +3 more sources

System identification approach to genetic programming

Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence, 2002
Introduces a new approach to genetic programming (GP), based on a system identification technique, which integrates a GP-based adaptive search of tree structures and a local parameter tuning mechanism employing a statistical search. In Proc. 5th Int. Joint Conf.
Hitoshi Iba, Taisuke Sato, Hugo de Garis
openaire   +1 more source

System identification using genetic algorithms

2006
Many engineering applications, including fault detection, fault diagnosis, automatic control, and simulation, require mathematical models of dynamic systems. There are two basic approaches to the construction of mathematical models; one is analytic based on the laws of physics, and the other is experimental based on fitting a model to recorded data by ...
Timothy Johnson, Phil Husbands
openaire   +1 more source

Replica identification using genetic programming

Proceedings of the 2008 ACM symposium on Applied computing, 2008
Identifying and handling replicas are important to guarantee the quality of the information made available by modern data storage services. There has been a large investment from companies and governments in the development of effective methods for removing replicas from large databases.
Moisés G. de Carvalho   +3 more
openaire   +1 more source

Identification and genetics of horse lymphocyte alloantigens

Immunogenetics, 1980
Six hundred horses were tested with lymphocytotoxic antisera derived from 550 parous mares and 58 antisera produced by alloimmunization with horse blood cells. Seven equine lymphocyte specificities were identified using correlation analysis of the test data, absorption analysis and lysostripping.
openaire   +2 more sources

A genetic algorithm for goal-conflict identification

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018
Goal-conflict analysis has been widely used as an abstraction for risk analysis in goal-oriented requirements engineering approaches. In this context, where the expected behaviour of the system-to-be is captured in terms of domain properties and goals, identifying combinations of circumstances that may make the goals diverge, i.e., not to be satisfied ...
Renzo Degiovanni   +3 more
openaire   +1 more source

Target Identification Strategies in Chemical Genetics

Combinatorial Chemistry & High Throughput Screening, 2004
Chemical inhibitors have had a profound impact on many diverse fields of biology. The goal of chemical genetics is to use small molecules to perturb biological systems in a manner conceptually similar to traditional genetics. Key to the advancement of the chemical genetic paradigm is the further development of tools and approaches for the ...
Gregory P, Tochtrop, Randall W, King
openaire   +2 more sources

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