Search results for " algorithm"

showing 10 items of 2538 documents

A Surrogate-assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-objective Optimization

2018

We propose a surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive optimization problems with more than three objectives. The proposed algorithm is based on a recently developed evolutionary algorithm for many-objective optimization that relies on a set of adaptive reference vectors for selection. The proposed surrogateassisted evolutionary algorithm uses Kriging to approximate each objective function to reduce the computational cost. In managing the Kriging models, the algorithm focuses on the balance of diversity and convergence by making use of the uncertainty information in the approximated objective values given by the Kriging models, the distr…

Pareto optimalityPareto-tehokkuus0209 industrial biotechnologyMathematical optimizationOptimization problemComputer sciencemodel managementpäätöksentekoEvolutionary algorithmInteractive evolutionary computation02 engineering and technologyEvolutionary computationTheoretical Computer Science020901 industrial engineering & automationKrigingalgoritmit0202 electrical engineering electronic engineering information engineeringvektorit (matematiikka)multiobjective optimizationcomputational costsurrogate-assisted evolutionary algorithmsBayesian optimizationta113Cultural algorithmpareto-tehokkuusbayesilainen menetelmäta111Approximation algorithmImperialist competitive algorithmmonitavoiteoptimointiKrigingkoneoppiminenComputational Theory and Mathematics020201 artificial intelligence & image processingreference vectorsSoftwareIEEE Transactions on Evolutionary Computation
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Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm

2019

We formulate and solve a real-world shape design optimization problem of an air intake ventilation system in a tractor cabin by using a preference-based surrogate-assisted evolutionary multiobjective optimization algorithm. We are motivated by practical applicability and focus on two main challenges faced by practitioners in industry: 1) meaningful formulation of the optimization problem reflecting the needs of a decision maker and 2) finding a desirable solution based on a decision maker’s preferences when solving a problem with computationally expensive function evaluations. For the first challenge, we describe the procedure of modelling a component in the air intake ventilation system wi…

Pareto optimalitymallintaminenMathematical optimizationOptimization problemProcess (engineering)Computer sciencemedia_common.quotation_subjectmultiple criteria decision makingEvolutionary algorithmoptimal shape designpreference information0102 computer and information sciences02 engineering and technology01 natural sciencesComponent (UML)0202 electrical engineering electronic engineering information engineeringBaseline (configuration management)Function (engineering)Preference (economics)media_commonpareto-tehokkuusilmanvaihtojärjestelmätmetamodelsmonitavoiteoptimointikoneoppiminen010201 computation theory & mathematicsevolutionary multi-objective optimizationcomputational costs020201 artificial intelligence & image processingmuotoProceedings of the Genetic and Evolutionary Computation Conference
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Searching for Jumbled Patterns in Strings

2009

Parikh vectors permuted strings pattern matching string algorithms average case analysisString algorithmsAverage case analysis; Parikh vectors; Pattern matching; Permuted strings; String algorithmsPermuted stringsParikh vectorsAverage case analysisPattern matching
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On Approximate Jumbled Pattern Matching in Strings

2011

Given a string s, the Parikh vector of s, denoted p(s), counts the multiplicity of each character in s. Searching for a match of a Parikh vector q in the text s requires finding a substring t of s with p(t) = q. This can be viewed as the task of finding a jumbled (permuted) version of a query pattern, hence the term Jumbled Pattern Matching. We present several algorithms for the approximate version of the problem: Given a string s and two Parikh vectors u, v (the query bounds), find all maximal occurrences in s of some Parikh vector q such that u <= q <= v. This definition encompasses several natural versions of approximate Parikh vector search. We present an algorithm solving this problem …

Parikh vectors: Average case analysiApproximate searchString algorithmsDiscrete mathematicsWeight functionanalysisSearch engine indexingParikh vectorsAverage case analysisApproximate string matchingSubstringString algorithmTheoretical Computer ScienceCombinatoricsComputational Theory and MathematicsString algorithms Pattern matching Parikh vectors Average case analysis Approximate search Permuted stringsPermuted stringsAverage caseTheory of computationWavelet TreePreprocessorPattern matchingPattern matchingMathematicsTheory of Computing Systems
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Optimization of the KNN Supervised Classification Algorithm as a Support Tool for the Implantation of Deep Brain Stimulators in Patients with Parkins…

2019

Deep Brain Stimulation (DBS) of the Subthalamic Nuclei (STN) is the most used surgical treatment to improve motor skills in patients with Parkinson&rsquo

Parkinson's diseaseDeep brain stimulationmicroelectrode registers-MERComputer sciencemedicine.medical_treatmentGeneral Physics and Astronomylcsh:AstrophysicsFeature selection02 engineering and technologybehavioral disciplines and activitiesArticlePharmacological treatment03 medical and health sciencesNeurologiafeature selection0302 clinical medicinedeep brain stimulation-DBSClinical supportlcsh:QB460-4660202 electrical engineering electronic engineering information engineeringmedicineIn patientlcsh:ScienceMotor skillK-nearest neighbour-KNN algorithmmedicine.diseaseBrain stimulatorslcsh:QC1-999nervous system diseasessurgical procedures operativenervous systemParkinson’s diseaselcsh:Q020201 artificial intelligence & image processingEnginyeria biomèdicatherapeuticsAlgorithmlcsh:Physics030217 neurology & neurosurgery
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Strong antiapostatic selection against novel rare aposematic prey

2001

The evolution of aposematism, a phenomenon where prey species conspicuously advertise their unprofitability to predators, is puzzling. How did conspicuousness evolve, if it simultaneously increased the likelihood of an inexperienced predator to detect the prey and presumably kill it? Antiapostatic selection, where rare prey is predated relatively more often, is considered as another major difficulty for aposematism to evolve. However, the risk of being conspicuous in low frequencies has not been experimentally tested. We designed an experiment to test how frequency (4%, 12%, 32%) of conspicuous aposematic prey and its dispersion type (solitary vs. aggregated) affect an initial predation ri…

ParusMultidisciplinarybiologyEcologyRelative mortalityAposematismbiology.organism_classificationPredationBirdsParasemia plantaginisPredatory BehaviorCommentaryAnimalsPrey switchingSelection GeneticPredatorSelection (genetic algorithm)Proceedings of the National Academy of Sciences
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Selection for cryptic coloration in a visually heterogeneous habitat.

2001

We studied selection by predators for cryptic prey coloration in a visually heterogeneous habitat that consists of two microhabitats. It has been suggested that the probability of escaping detection in such habitats might be optimized by maximizing crypsis in one of the microhabitats. However, a recent model indicates that a coloration that compromises the requirements of different microhabitats might sometimes be the optimal solution. To experimentally study these hypotheses, we allowed great tits (Parus major L.) to search for artificial prey items in two different microhabitats (background boards): small patterned and large patterned. On each board there was one prey item that was either…

ParusTime FactorsGeneral Immunology and MicrobiologyEcologyAnimal colorationGeneral MedicineBiologyEnvironmentbiology.organism_classificationGeneral Biochemistry Genetics and Molecular BiologyArticlePredationSongbirdsDisruptive colorationHabitatCamouflagePredatory BehaviorCrypsisAnimalsGeneral Agricultural and Biological SciencesSelection (genetic algorithm)Color PerceptionGeneral Environmental Science
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Can experienced birds select for Müllerian mimicry?

2008

Field experiments have shown that avian predators in the wild can select for similarity of warning signals in aposematic prey (Müllerian mimicry) because a common signal is better protected than a signal that is novel and rare. The original theory of Müllerian mimicry assumes that the mechanism promoting mimicry is predator learning; by sharing a signal, the comimic species share the mortality that is due to sampling by inexperienced predators. Predation events have not been observed in the wild, and learning experiments with naive bird predators in a laboratory have not unambiguously shown a benefit of a uniform signal compared with different signals. As predators in the field experiments …

ParusbiologyEcologyAposematismbiology.organism_classificationMüllerian mimicryPredationEvolutionary biologyGeneralization (learning)MimicryAnimal Science and ZoologyPredatorEcology Evolution Behavior and SystematicsSelection (genetic algorithm)Behavioral Ecology
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Estimation of Passenger Car Equivalents for single-lane roundabouts using a microsimulation-based procedure

2017

Calibration of microscopic traffic simulation models for single-lane roundabouts.Use of a meta-analytical estimation of critical and follow up headways.Use of a genetic algorithm-based procedure.Calculation of passenger car equivalents for single-lane roundabouts. Passenger car equivalents for heavy vehicles are required to carry out capacity calculations and perform operational analysis of any road entity (roadway segments or intersections). At single-lane roundabouts, the constraints to the vehicular trajectories imposed by the curvilinear geometric design and the driver's gap acceptance behaviour are expected to produce an impact of the heavy vehicles on the quality of traffic flow diffe…

Passenger car equivalent050210 logistics & transportationComputer science05 social sciencesGeneral EngineeringMicrosimulationTraffic simulation02 engineering and technologyTraffic flowAimsunAutomotive engineeringComputer Science ApplicationsGenetic algorithmSettore ING-INF/04 - AutomaticaArtificial IntelligenceCalibration0502 economics and businessPath (graph theory)Roundabout0202 electrical engineering electronic engineering information engineeringSettore ICAR/04 - Strade Ferrovie Ed AeroportiSingle-lane roundabout020201 artificial intelligence & image processingPassenger car equivalentMicroscopic traffic simulation modelExpert Systems with Applications
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Ossifying renal tumor of infancy

2007

A renal ossifying tumor of infancy is a rare event with few cases having been published, and the etiology has not yet been established. We report on two new cases of this unusual neoplasm. A 2-year-old boy presented with intermittent painless gross hematuria. After several diagnostic procedures, an open pyelolithotomy was performed and the histological diagnosis of renal tumor of infancy was finally made. The history of the second case is very similar. An 8-week-old infant presented with gross hematuria. As in the first case, an open pyelolithotomy was performed and a tumor entirely covered with blood clots was found in the renal pelvis and completely removed. A histological diagnosis of re…

Pathologymedicine.medical_specialtyOssificationbusiness.industryUrologyTherapeutic algorithmRenal tumorurologic and male genital diseasesGross hematuriamedicine.anatomical_structureHistological diagnosisPediatrics Perinatology and Child HealthmedicineEtiologyRadiologymedicine.symptomDifferential diagnosisbusinessRenal pelvisJournal of Pediatric Urology
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