Search results for "Genetic algorithm"

showing 10 items of 834 documents

Metal speciation in solid matrices

1994

The literature on metal ion speciation in solid matrices is reviewed, taking into account its applications in the analysis of soil, sediment, biological materials, foodstuff and other solid samples. The pretreatment methods of various solid materials required for carrying out speciation studies have been highlighted. The basis of the methods of separation of different species from matrices, such as sequential extraction, selective extraction, etc. is discussed. The instrumental techniques used for the characterization of different chemical species in solid matrices have been mentioned. The literature survey reveals the analytical details of the developed methodologies, and these have been e…

Detection limitChemical speciesChemistryExtraction (chemistry)Genetic algorithmAnalytical chemistryLiterature surveyBiological materialsAnalytical ChemistryMetal speciationCharacterization (materials science)Talanta
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The Effective Sample Size

2013

Model selection procedures often depend explicitly on the sample size n of the experiment. One example is the Bayesian information criterion (BIC) criterion and another is the use of Zellner–Siow priors in Bayesian model selection. Sample size is well-defined if one has i.i.d real observations, but is not well-defined for vector observations or in non-i.i.d. settings; extensions of critera such as BIC to such settings thus requires a definition of effective sample size that applies also in such cases. A definition of effective sample size that applies to fairly general linear models is proposed and illustrated in a variety of situations. The definition is also used to propose a suitable ‘sc…

Deviance information criterionEconomics and EconometricsBayesian information criterionSample size determinationModel selectionPrior probabilityStatisticsLinear modelBayesian inferenceAlgorithmSelection (genetic algorithm)Statistics::ComputationMathematicsEconometric Reviews
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32×32 winner-take-all matrix with single winner selection

2010

A 32 × 32 winner-take-all (WTA) matrix with single winner selection is introduced. A high-resolution gain-boosted regulated-cascode WTA circuit is used in a first competition stage. Because of the large number of competing cells the possibility of a multiple winners situation arises. A single winner is obtained by means of a digital inhibitory circuit following each WTA analogue amplifier. Simulations show that this mixed analogue-digital circuit achieves its objective with a current resolution of approximately 10 nA (0.8% of the maximum input current in the simulated case). A time response of ?s can be achieved.

Digital electronicsEngineeringArtificial neural networkbusiness.industryAmplifierHigh resolutionWinner-take-allMatrix (mathematics)Time responseElectronic engineeringElectrical and Electronic EngineeringbusinessAlgorithmSelection (genetic algorithm)Electronics Letters
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An Heuristic Approach for the Training Dataset Selection in Fingerprint Classification Tasks

2015

Fingerprint classification is a key issue in automatic fingerprint identification systems. It aims to reduce the item search time within the fingerprint database without affecting the accuracy rate. In this paper an heuristic approach using only the directional image information for the training dataset selection in fingerprint classification tasks is described. The method combines a Fuzzy C-Means clustering method and a Naive Bayes Classifier and it is composed of three modules: the first module builds the working datasets, the second module extracts the training images dataset and, finally, the third module classifies fingerprint images in four classes. Unlike literature approaches using …

Directional imageFingerprint classificationComputer sciencebusiness.industryHeuristicNaive bayes classifierTraining dataset optimizationPattern recognitionBayes classifiercomputer.software_genreClass (biology)Fuzzy logicNaive Bayes classifierComputingMethodologies_PATTERNRECOGNITIONFingerprintArtificial intelligenceData miningCluster analysisbusinesscomputerSelection (genetic algorithm)Fuzzy C-Mean
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Universal Design of Information Sharing Tools for Disaster Risk Reduction

2019

International audience; Disaster information sharing tools are an important aspect of disaster resilience, and it is of utmost importance that these tools are accessible and usable for as many potential users as possible. In this paper, we evaluate the accessibility of a selection of tools for crowdsourcing disaster situation information. As our evaluation shows that the selected tools are not fully accessible, we provide recommendations for mitigation, as well as highlight the importance of further research in this area.

Disaster risk reductionbusiness.industryComputer sciencemedia_common.quotation_subjectUniversal designInformation sharing05 social sciencesDisaster Risk Reduction (DRR)050301 education02 engineering and technologyCrowdsourcingDisaster resilienceDisaster information sharing toolsRisk analysis (engineering)0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]020201 artificial intelligence & image processingPsychological resilienceDisaster risk reductionbusinessResilience (network)0503 educationSelection (genetic algorithm)media_common
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Analysis of properties of recombination operators proposed for the node-depth encoding

2011

The node-depth encoding is a representation for evolutionary algorithms applied to tree problems. Its represents trees by storing the nodes and their depth in a proper ordered list. The original formulation of the node-depth encoding has only mutation operators as the search mechanism. Although it is computationally efficient, the exclusive use of mutation restricts the exploration of the search space and the algorithm convergence. Then, this work proposes two specific recombination operators to improve the convergence of the algorithm using the node-depth encoding representation. These operators are based on recombination operators for permutation representations. Analysis of the proposed …

Discrete mathematicsPermutationTree (data structure)Encoding (memory)Mutation (genetic algorithm)Convergence (routing)Evolutionary algorithmQuantitative Biology::Populations and EvolutionNode (circuits)Representation (mathematics)AlgorithmMathematicsProceedings of the 13th annual conference companion on Genetic and evolutionary computation
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Efficient algorithm for learning simple regular expressions from noisy examples

1994

We present an efficient algorithm for finding approximate repetitions in a given sequence of characters. First, we define a class of simple regular expressions which are of star-height one and do not contain union operations, and a stochastic mutation process of a given length over a string of characters. Then, assuming that a given string of characters is obtained corrupted by the defined mutation process from some long enough word generated by a simple regular expression, we try to restore the expression. We prove that to within some reasonable accuracy it is always possible if the length of the mutation process is bounded comparing to the length of the example. We provide an algorithm by…

Discrete mathematicsRegular languageComputer scienceBounded functionString (computer science)Mutation (genetic algorithm)Edit distanceRegular expressionExpression (computer science)Time complexity
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A genetic system based on simulated crossover of sequences of two-bit genes

2006

AbstractWe introduce a genetic model based on simulated crossover of fixed sequences of two-bit genes. Results are(1)a lower bound on population size is exhibited such that a transition takes the stochastic finite population genetic system near the next state of the deterministic infinite population genetic system (provided both begin in the same state);(2)states and dynamics of the deterministic infinite population genetic system are derived for arbitrary (finite) fitness functions (expressed in terms of multivariate polynomials);(3)in the case of quadratic fitness defined by weight matrices with m nonnull entries it is shown that each state transition can be implemented in time O(m+l), wh…

Discrete mathematicseducation.field_of_studyGeneral Computer SciencePopulation sizeCrossoverPopulationState (functional analysis)Upper and lower boundsQuantitative Biology::GenomicsTheoretical Computer ScienceMarginal distribution genetic algorithmsChromosome (genetic algorithm)Genetic modelGenetic algorithmMax-cut problemeducationAlgorithmComputer Science(all)MathematicsTheoretical Computer Science
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Criteria for Selecting Restructuring Strategies for Distressed or Declining Enterprises

2005

This paper seeks to determine the criteria for choosing restructuring strategies for declining or distressed enterprises. First, the paper differentiates between different stages of decline and different levels of distress, of which bankruptcy is an application. Second, it reviews the different forms of restructuring appearing in the academic literature. Third, it formalizes a descriptive model of determining restructuring applicable to distressed and declining enterprises. Specifically, the selection of a restructuring strategy is influenced not only be general restructuring criteria (firm-specific factors, the environment and characteristics of different restructuring) but also by the dec…

DistressPublic economicsRestructuringBankruptcyBusiness administrationBusinessSelection (genetic algorithm)SSRN Electronic Journal
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Mechanism-based selection of compounds for the development of innovative in vitro approaches to hepatotoxicity studies in the LIINTOP project.

2010

The 6th European Framework Programme project LIINTOP was specifically raised to optimise and provide established protocols and experimental in vitro models for testing intestinal and liver absorption, metabolism and toxicity of molecules of pharmacological interest. It has been focused on some of the most promising existing liver and intestine in vitro models with the aim of further improving their performance and thus taking them to a pre-normative research stage. Regarding the specific area of the liver, a first basic approach was the optimisation of in vitro hepatic models and the development and optimisation of in vitro approaches for toxicity screening. New advanced technologies have b…

DrugDrug-Related Side Effects and Adverse ReactionsMechanism (biology)media_common.quotation_subjectMechanism basedGeneral MedicineComputational biologyPharmacologyBiologyToxicologyModels BiologicalIn vitroLiverChemical agentsToxicity TestsMolecular targetsScreening methodAnimalsHumansChemical and Drug Induced Liver InjurySelection (genetic algorithm)media_commonToxicology in vitro : an international journal published in association with BIBRA
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