Search results for "Genetic algorithm"

showing 10 items of 834 documents

Context-sensitive text mining with fitness leveling Genetic Algorithm

2015

Contextual processing is a great challenge for information retrieval study - the most approved techniques include scanning content of HTML web pages, user supported metadata analysis, automatic inference grounded on knowledge base, or content-oriented digital documents analysis. We propose a meta-heuristic by making use of Genetic Algorithms for Contextual Search (GACS) built on genetic programming (GP) and custom fitness leveling function to optimize contextual queries in exact search that represents unstructured phrases generated by the user. Our findings show that the queries built with GACS can significantly optimize the retrieval process.

Information retrievalComputer scienceProcess (engineering)business.industrymedia_common.quotation_subjectContext (language use)Genetic programmingContextual advertisingKnowledge baseGenetic algorithmWeb pageFunction (engineering)businessmedia_common2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)
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Control points deployment in an Intelligent Transportation System for monitoring inter-urban network roadway

2022

Abstract The constant evolution of transportation systems and traffic in developing countries is nowadays confronted with a problem of road safety and therefore of a high accident rate, especially in the context of inter-urban road transport. In this work, we propose a communication architecture for an Intelligent Transport System (ITS) to provide surveillance in an inter-urban transport network in the context of developing countries. We introduce two types of control points: Relay Control Points (RCP) and Treatment Control Points (TrCP). We also designed two multi-objective models for the deployment of these points. In order to ensure good coverage, to minimize the cost of installation and…

Intelligent Transportation SystemGeneral Computer ScienceOperations researchComputer scienceControl (management)Transport network020206 networking & telecommunicationsContext (language use)QA75.5-76.9502 engineering and technologyRoadway network modelingControl points deploymentMulti-objective optimizationTraffic modelinglaw.inventionMulti-objective optimizationSoftware deploymentRelaylawElectronic computers. Computer scienceGenetic algorithm0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingIntelligent transportation systemJournal of King Saud University - Computer and Information Sciences
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Selection and evaluation of Internet information by adults with intellectual disabilities

2018

Internet offers people with intellectual disabilities (ID) unique opportunities to access information and to participate in society. But concerns have been raised about the potential risks they face when accessing the Internet (e.g. giving credit to false information, being exposed to manipulative content). As part of the current debate between positive risk-taking and overprotection, our study empirically tested the extent to which 43 adults with ID identified and selected topically relevant as well as trustworthy web pages while searching the Internet for several topics (e.g. Can social networks use your pictures for advertisement?). Participants also justified their search decisions. Res…

Internet privacyPositive risk-takingHealth Professions (miscellaneous)EducationIntellectual disabilitiesDidáctica y Organización EscolarIntellectual disabilityCredibilityDevelopmental and Educational Psychologymedicine0501 psychology and cognitive sciencesSelection (genetic algorithm)TrustworthinessInternet risksbusiness.industryInformation seekingInformation literacy05 social sciences050301 educationmedicine.diseaseInternet searchTrustworthinessThe InternetbusinessPsychology0503 educationInclusion (education)050104 developmental & child psychology
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A relevance feedback CBIR algorithm based on fuzzy sets

2008

CBIR (content-based image retrieval) systems attempt to allow users to perform searches in large picture repositories. In most existing CBIR systems, images are represented by vectors of low level features. Searches in these systems are usually based on distance measurements defined in terms of weighted combinations of the low level features. This paper presents a novel approach to combining features when using multi-image queries consisting of positive and negative selections. A fuzzy set is defined so that the degree of membership of each image in the repository to this fuzzy set is related to the user's interest in that image. Positive and negative selections are then used to determine t…

Iterative methodbusiness.industryFuzzy setRelevance feedbackUsabilityMachine learningcomputer.software_genreImage (mathematics)Set (abstract data type)Signal ProcessingComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringbusinessImage retrievalAlgorithmcomputerSoftwareSelection (genetic algorithm)MathematicsSignal Processing: Image Communication
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A FAST Method to Achieve Flexible Production Programming Systems

2008

One of the main critical problems in manufacturing system domains is the production scheduling process, because an agile and reactive production planning and scheduling system is essential in manufacturing. The production scheduling process is a complex problem in which finding a suitable production scheduling can greatly increase the effectiveness of highly flexible production processes. Nevertheless, this high flexibility makes the production scheduling and acquisition of relevant data quite complicated. Therefore, there is a strong demand for a universal and flexible tool for production scheduling capable of increasing the utilization of resources and that supports a decision-making proc…

Job shop schedulingComputer scienceDistributed computingReal-time computingFlexible manufacturing systemScheduling (production processes)Dynamic priority schedulingFair-share schedulingComputer Science ApplicationsScheduling (computing)Human-Computer InteractionProduction planningControl and Systems EngineeringGenetic algorithm schedulingTwo-level schedulingScalabilityResource managementElectrical and Electronic EngineeringSoftwareInformation SystemsIEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
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Panel Summary: Behavioural Models

1997

The aim of this paper is to report the panel discussion on behavioural models of human or machine agents interacting with the environment. In particular the following hot points will been analysed: a framework for describing behaviour; learning and evolution; closure and teleonomy when it comes to behaviour; the perception-learning-planning loop; the information integration at the (pre)attentive level; knowing by acting and knowing by computing.

LOOP (programming language)Computer sciencebusiness.industryArtificial lifeGenetic algorithmClosure (topology)Artificial intelligenceTeleonomybusinessInformation integrationPanel discussion
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Unobserved Heterogeneity in Overeducation Models: Is Personality More Important than Ability?

2013

This paper compares the performance of selected personality aspects and ability on explaining the overeducation status of the individual. Ability is defined as the difference between the actual and the predicted income. Personality proves to be an important factor affecting the risk of overeducation. For females, personality allows to better explain mismatch than ability. For males, ability frequently, but not always, performs better than personality. Controlling for personality allows for better classification of the non-overeducated, while controlling for ability improves the classification of the overeducated. The study is done on the pooled sample of 23 European countries, as well as fo…

Labour economicsOvereducationPooled Samplemedia_common.quotation_subjectGeneral EngineeringEnergy Engineering and Power TechnologyLabour marketEducationEconometricsPersonalityPsychologyAbilitySelection (genetic algorithm)media_commonPersonalityProcedia Economics and Finance
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Improving transferability strategies for debris flow susceptibility assessment: Application to the Saponara and Itala catchments (Messina, Italy)

2017

Abstract Debris flows can be described as rapid gravity-induced mass movements controlled by topography that are usually triggered as a consequence of storm rainfalls. One of the problems when dealing with debris flow recognition is that the eroded surface is usually very shallow and it can be masked by vegetation or fast weathering as early as one-two years after a landslide has occurred. For this reason, even areas that are highly susceptible to debris flow might suffer of a lack of reliable landslide inventories. However, these inventories are necessary for susceptibility assessment. Model transferability, which is based on calibrating a susceptibility model in a training area in order t…

Landslide susceptibility modellingHydrology010504 meteorology & atmospheric sciencesStormLandslideMultiple debris flow eventVegetation010502 geochemistry & geophysics01 natural sciencesDebrisDebris flowTransferabilityCovariateSaponara and Itala catchment (Sicily Italy)Selection (genetic algorithm)Geology0105 earth and related environmental sciencesEarth-Surface ProcessesEvent (probability theory)Geomorphology
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Evolution and Learning: Evolving Sensors in a Simple MDP Environment

2003

Natural intelligence and autonomous agents face difficulties when acting in information-dense environments. Assailed by a multitude of stimuli they have to make sense of the inflow of information, filtering and processing what is necessary, but discarding that which is unimportant. This paper aims at investigating the interactions between evolution of the sensorial channel extracting the information from the environment and the simultaneous individual adaptation of agent-control. Our particular goal is to study the influence of learning on the evolution of sensors, with learning duration being the tunable parameter. A genetic algorithm governs the evolution of sensors appropriate for the a…

Learning classifier systembusiness.industryComputer science05 social sciencesAutonomous agentExperimental and Cognitive PsychologyGrid050105 experimental psychologyTask (project management)03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineGenetic algorithmReinforcement learning0501 psychology and cognitive sciencesArtificial intelligencebusinessAdaptation (computer science)030217 neurology & neurosurgeryCommunication channelAdaptive Behavior
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Evidence against linkage of schizophrenia to chromosome 5q11-q13 markers in systematically ascertained families.

1992

Ten pedigrees systematically ascertained in Germany were tested for linkage to chromosome 5q11-q13. In order to replicate the previous report by Sherrington et al (1988), families with a bipolar family member were omitted from the lod score calculations, all diagnoses were based upon Research Diagnostic Criteria, and four different models of the affection status were calculated, including the model for which Sherrington et al calculated the highest lod scores. None of the families investigated showed a positive lod score. Using multipoint linkage analyses, we were able to exclude the region for which a positive linkage has been reported.

Linkage (software)GeneticsGenetic Markerscongenital hereditary and neonatal diseases and abnormalitiesGenetic LinkageResearch Diagnostic CriteriaPedigree chartmedicine.diseaseFamily memberChromosome (genetic algorithm)Psychotic DisordersSchizophreniamedicineSchizophreniaChromosomes Human Pair 5HumansFamilyLymphocytesLod ScorePsychologyBiological PsychiatryLod scoresLod scoreBiological psychiatry
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