Search results for "surrogates"

showing 5 items of 5 documents

Fitness and viability of small populations : the effects of genetic drift, inbreeding, and interpopulation hybridization

2012

sisäsiitosdrift loadluonnonvalintaDrosophila littoralismahlakärpäsetfitness surrogatesoutbreeding depressiongeneettinen muuntelusatunnaisajautuminenpopulaatiotpurgingristeytysheterosissukusiitosinbreeding depression
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Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case

2017

Complexity in solving real-world multicriteria optimization problems often stems from the fact that complex, expensive, and/or time-consuming simulation tools or physical experiments are used to evaluate solutions to a problem. In such settings, it is common to use efficient computational models, often known as surrogates or metamodels, to approximate the outcome (objective or constraint function value) of a simulation or physical experiment. The presence of multiple objective functions poses an additional layer of complexity for surrogate-assisted optimization. For example, complexities may relate to the appropriate selection of metamodels for the individual objective functions, extensive …

optimization problemsMathematical optimizationComputer scienceStrategy and Managementmedia_common.quotation_subjectConstraint (computer-aided design)0211 other engineering and technologiesmultiple criteria decision makingGeneral Decision Sciences02 engineering and technologyMulti-objective optimizationOutcome (game theory)evolutionary multicriteria optimizationEngineering optimizationmulticriteria optimization0202 electrical engineering electronic engineering information engineeringPoint (geometry)Business caseFunction (engineering)media_commonta113Computational model021103 operations researchmetamodelsexpensive optimization problemssurrogatesexpensesmachine learning020201 artificial intelligence & image processing
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Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space

2019

In this paper, a clustering based surrogate is proposed to be used in offline data-driven multiobjective optimization to reduce the size of the optimization problem in the decision space. The surrogate is combined with an interactive multiobjective optimization approach and it is applied to forest management planning with promising results. peerReviewed

data-driven optimizationMathematical optimizationOptimization problemComputer scienceboreal forest managementComputer Science::Neural and Evolutionary Computationpäätöksenteko0211 other engineering and technologiesMathematicsofComputing_NUMERICALANALYSISdecision maker02 engineering and technologypreference informationSpace (commercial competition)Multi-objective optimizationComputingMethodologies_ARTIFICIALINTELLIGENCEData-drivenklusteritoptimointi0202 electrical engineering electronic engineering information engineeringCluster analysis021103 operations researchsurrogatesComputingMethodologies_PATTERNRECOGNITIONboreaalinen vyöhyke020201 artificial intelligence & image processingmetsänhoitoCluster basedclustering
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One taxon does not fit all: Herb-layer diversity and stand structural complexity are weak predictors of biodiversity in Fagus sylvatica forests

2016

Abstract Since adequate information on the distribution of biodiversity is hardly achievable, biodiversity indicators are necessary to support the management of ecosystems. These surrogates assume that either some habitat features, or the biodiversity patterns observed in a well-known taxon, can be used as a proxy of the diversity of one or more target taxa. Nevertheless, at least for certain taxa, the validity of this assumption has not yet been sufficiently demonstrated. We investigated the effectiveness of both a habitat- and a taxa-based surrogate in six European beech forests in the Apennines. Particularly, we tested: (1) whether the stand structural complexity and the herb-layer speci…

0106 biological sciencesApennineApennines010504 meteorology & atmospheric sciencesBiodiversityGeneral Decision SciencesComplementarity010603 evolutionary biology01 natural sciencesEuropean beech forestsHabitat-based surrogatesLichenBeechEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesDecision Sciences(all)EcologybiologyEcologySpecies diversityBody size and species richnessCross-taxonbiology.organism_classificationEuropean beech forestTaxonHabitatHabitat-based surrogateSpecies richnessSpecies-based surrogatesApennines; Cross-taxon; Complementarity; European beech forests; Habitat-based surrogates; Species-based surrogatesEcological Indicators
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Do testate amoebae communities recover in concordance with vegetation after restoration of drained peatlands?

2016

The environmental importance of peatlands has stimulated efforts to restore their specific ecosystem structure and functions. Monitoring and assessment of the ecological state of the peatland is fundamental in restoration programmes. Most studies have focused on the responses of vegetation and, to a lesser extent, on testate amoebae (TA). To our knowledge, none have investigated whether these two groups show concordance in the context of restoration of drained peatland. Here we assess community concordance between TA and vegetation in boreal peatlands belonging to four different land use management classes (natural, drained, restored 3–7 years ago, and restored 9–12 years ago). TA and veget…

monitoringassessmentecological statelcsh:QH540-549.5taxa surrogatesmonitorointiindicators of restorationlcsh:EcologyMires and Peat
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