Search results for "objective"

showing 10 items of 505 documents

A Multiple Surrogate Assisted Decomposition Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization

2019

Many-objective optimization problems (MaOPs) contain four or more conflicting objectives to be optimized. A number of efficient decomposition-based evolutionary algorithms have been developed in the recent years to solve them. However, computationally expensive MaOPs have been scarcely investigated. Typically, surrogate-assisted methods have been used in the literature to tackle computationally expensive problems, but such studies have largely focused on problems with 1–3 objectives. In this paper, we present an approach called hybrid surrogate-assisted many-objective evolutionary algorithm to solve computationally expensive MaOPs. The key features of the approach include: 1) the use of mul…

metamodelsmultiprotocol label switchingmultiobjective optimizationevoluutiolaskentareference vectorscomputational costmonitavoiteoptimointi
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Sectoral policies as drivers of forest management and ecosystems services: A case study in Bavaria, Germany

2023

European countries have national sectoral polices to regulate and promote the provision of a wide range of forest ecosystems services (FES). However, potential incoherencies among these policies can negatively affect the efficient provision of FES. In this work, we evaluated the coherence among three national policies from Germany and their ability to effectively provide FES in the future: the Forest Strategy 2020 (FS), the National Strategy on Biological Diversity (BDS), and the German National Policy Strategy on Bioeconomy (BES). Using forest inventory data from the Federal State of Bavaria, we simulated a range of forest management options under three climate trajectories for 100 years i…

metsänkäsittelyGeography Planning and Developmentforest managementForestryforest policyscenario analysisilmastonmuutoksetManagement Monitoring Policy and Lawskenaariotmonitavoiteoptimointibiodiversiteetticlimate changeekosysteemipalvelutmulti-objective optimizationmetsäpolitiikkabiodiversityNature and Landscape ConservationLand Use Policy
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Trade-offs among intensive forestry, ecosystem services and biodiversity in boreal forests

2018

Finnish forests are used extensively for timber production but are also providers of other ecosystem services and harbor unique biodiversity. The ecosystem services approach has so far been used marginally in the context of Finnish forestry; however, due to the multiple values associated with Finnish forests and the impacts forestry operations have on forest ecosystems, it is clearly applicable in this context. In this thesis, I studied the occurrence and severity of trade-offs among ecosystem services and biodiversity conservation in Finnish forests. I used forest inventory data, forest growth simulations, and multi-objective optimization to reveal how the severity of the trade-offs varies…

metsänkäsittelyforest managementsustainabilitykestävä metsätalousmonitavoiteoptimointibiodiversiteettimetsätaloustehometsätalousmetsiensuojelupuuntuotantoekosysteemipalvelutboreaalinen vyöhykeconflictsmulti-objective optimizationtimber productionsimulointiFinland
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Pareto frontier in economic-statistical design of a dynamic c chart

2015

The present paper proposes an economic-statistical multi-objective design procedure for a dynamic c control chart. In detail, a mixed integer non-linear constrained mathematical model is formulated to solve the treated problem, whereas the Pareto frontier is described by the ε-constraint method. To show the employment of the proposed procedure a numerical case is solved and the related considerations are given.

multi-objective designStatistical process controlε-constraint methoddynamic c chart
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An Hypervolume based constraint handling technique for multi-objective optimization problems

2011

Formulation of structural optimization problems usually leads to the individuation of one or more objective functions to be minimized under different constraints. Many multi-objective evolutionary algorithms are approached by a Pareto-compliant ranking method, where no a priori information on the problem is needed and the concept of non-dominated solutions is used. In this paper a constraint handling technique based on the concept of hypervolume indicator is presented. Initially proposed to compare different multi-objective algorithms hypervolume indicator is the only single set quality measure to reflects the dominance of solution’s sets. The constraint handling technique proposed use an e…

multi-objective optimization constraints hypervolumeSettore ICAR/08 - Scienza Delle Costruzioni
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A multi-objective and multi-criteria approach for district metered area design: water operation and quality analysis

2019

Water distribution network (WDN) operation may be improved by district metered area (DMA) design [1]. A first step to create DMAs uses graph theory and non-supervised learning, where physical features of the WDN, such as node coordinates, elevation and demand, are used for clustering purposes [2]. A second step is related to the necessary isolation of the clustered elements. For isolation purposes, it is important to determine the DMA entrances and, consequently, the needed cut-off valves. Closure of pipes and definition of DMA entrances can be set as an optimization problem with the costs associated to the valves, which are linked to pipe diameters, as a primary objective. However, placeme…

multi-objectiveSettore ING-IND/17 - Impianti Industriali Meccanicimulti criteria decision-makingWater distribution networkTOPSIS
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A visualization technique for accessing solution pool in interactive methods of multiobjective optimization

2015

<pre>Interactive methods of <span>multiobjective</span> optimization repetitively derive <span>Pareto</span> optimal solutions based on decision maker's preference information and present the obtained solutions for his/her consideration. Some interactive methods save the obtained solutions into a solution pool and, at each iteration, allow the decision maker considering any of solutions obtained earlier. This feature contributes to the flexibility of exploring the <span>Pareto</span> optimal set and learning about the optimization problem. However, in the case of many objective functions, the accumulation of derived solutions makes accessing the sol…

multidimensional scalingMathematical optimizationOptimization problemComputer Networks and CommunicationsComputer sciencevisualisointiPareto front visualizationcomputer.software_genreMulti-objective optimizationSet (abstract data type)menetelmätMultidimensional scalingMultiobjective optimizationdimensionality reductionFlexibility (engineering)pareto-tehokkuusDimensionality reductionMultiobjective optimization ; interactive methods ; Pareto front visualization ; dimensionality reduction ; multidimensional scalinginteractive methodsNIMBUSmonitavoiteoptimointiComputer Science ApplicationsVisualizationComputational Theory and MathematicsFeature (computer vision)interaktiivisuusData miningcomputer
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Kinetic Analysis: A Sensitive Outcome Objective Measurement Method in Evaluating Lateral Patellar Instability

2011

There are many diagnostic clinical tests (e.g., apprehension patellar test or the moving patellar apprehension test), outcome measures (general health and knee scales [IKDC form, Kujala scale, Fulkerson scale, Lysholm knee scoring scale, Tegner activity level scale, short form-36]), and instrumented measurements of patellar mobility (static stability), to assess lateral patellar instability.7,10,15,16 However, according to Smith and colleagues,15 the sensitivity/specificity – reliability/validity of such tests and outcome tools remain unclear for this patient population. These authors conclude that further work is needed to assess the appropriateness of these tests and outcomes.15Moreover, …

musculoskeletal diseasesmedicine.medical_specialtybusiness.industryKinetic analysisObjective measurementEvidence-based medicinemusculoskeletal systemLysholm Knee Scoring ScaleInstabilityOutcome (game theory)Surgerylaw.inventionPhysical medicine and rehabilitationRandomized controlled triallawmedicinebusinessReliability (statistics)
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A Multi-Objective Design Approach for the c Chart Considering Taguchi Loss Function

2014

The present paper proposes a multi-objective design approach for the c chart, considering in the optimization process of the chart parameters both the statistical and the economic objectives. In particular, the minimization of the hourly total quality related costs is the considered objective to carry out the economic goal, whereas the statistical objective is reached by the minimization the out-of-control average run length of the chart. A mixed integer non-linear constrained mathematical model is formulated to solve the treated multi-objective optimization problem, whereas the Pareto optimal frontier is described by the «-constraint method. In order to show the employment of the proposed …

non-linear constrained mathematical programming ModelTaguchi loss functione-constraint methodstatistical process controlPareto optimal frontiermulti-objective optimization problemSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Individual mindfulness and objective performance. An experimental approach

2023

El interés por el mindfulness se debe a que parece tener un impacto positivo en el funcionamiento del ser humano (Brown et al., 2007). Así, diferentes estudios sugieren que el mindfulness es una herramienta para tratar diferentes trastornos psicológicos y físicos (Baer, 2003; Chiesa y Malinowski, 2011). En esta dirección, un creciente número de trabajos también sugieren que estos efectos positivos mencionados pueden extenderse al entorno organizacional (Hyland et al., 2015; Reb & Choi, 2014; Sutcliffe et al., 2016). Sin embargo, son escasos los estudios que se han centrado en analizar la relación entre mindfulness y el rendimiento individual (Dane, 2011). Esto puede explicarse por el hecho …

objective performanceaccuracytrait mindfulnessUNESCO::PSICOLOGÍAstate mindfulnessattention
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