Search results for "objective"

showing 10 items of 505 documents

Journal of Economics and Management Research, Vol. 4/5

2016

objective well-being - LatviaForeign direct investment in the BalticsDiffusion of innovationsaccounting informationKnowledge managementhealth care financing:SOCIAL SCIENCES::Business and economics [Research Subject Categories]cohesion policyspatial econometric analysispolitical business cyclesclient perceived participation value - Lithuaniatariff and non-tariff barriers
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Water distribution network robust design based on energy surplus index maximization

2015

The aim of this paper is to show that energy surplus indices, such as resilience index, besides providing a very good indirect measure of water distribution network reliability to be adopted during the design phase, represent also a valuable and effective indicator of the robustness of the network in alternative network scenarios, and can thus be profitably used in condition of future demands uncertainty. The methodology adopted consisted of (I) multi-objective design optimization performed in order to minimize construction costs while maximizing the resilience index; (II) retrospective performance assessment of the alternative solutions of the Pareto front obtained, under demand conditions…

optimal robust designEngineeringTopological complexityMathematical optimizationenergy surplus indexDistribution networksManagement sciencebusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaMaximizationWater distribution networkMulti-objective optimizationwater distribution networks energy surplus indexNONetwork planning and designRobust designwater distribution networksRobustness (computer science)resilience indexResilience indexbusinessWater Science and TechnologyWater Supply
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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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Interactive methods for multiobjective robust optimization

2018

Practical optimization problems usually have multiple objectives, and they also involve uncertainty from different sources. Various robustness concepts have been proposed to handle multiple objectives and the involved uncertainty simultaneously. However, the practical applicability of the proposed concepts in decision making has not been widely studied in the literature. Developing solution methods to support a decision maker to find a most preferred robust solution is an even more rarely studied topic. Thus, we focus on two goals in this thesis including 1) analyzing the practical applicability of different robustness concepts in decision making and 2) developing interactive methods for sup…

optimointipareto-tehokkuusmultiobjective optimizationpäätöksentukijärjestelmätrobustnessdecision-makinginteractive methodsuncertaintymonitavoiteoptimointiepävarmuus
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Multi-objective parameter identification via ACOR algorithm

2009

The spreading of advanced constituive models, needed to model complex phenomena, makes necessary to solve difficult parameter identification problems. The need of multiple tests to fully characterize the experimental behaviour makes the parameter identification problem a multi objective one. Unlike conventional techniques, based on the formulation of an aggregate scalar ob- jective function, in the present work the problem is addressed using a new multi objective algorithm obtained extending the continuous Ant Colony Optimization algorithm. Mathematical tests and ap- plication to a real world problem are performed and different performance measures are used to asses the performance of the a…

parameters identification ACOR multi-objective optimization.Settore ICAR/08 - Scienza Delle Costruzioni
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Il concetto di personalizzazione Evoluzione teorica e applicazioni scolastiche

2018

Dopo venti anni di studi e dibattiti sull’individualizzazione e la personalizzazione a scuola si è fatta maggiore chiarezza sulla personalizzazione della didattica, al punto che oggi si può affermare con sufficiente certezza e ampio consenso che un docente pratica una didattica personalizzata se, con specifiche azioni coltiva in ogni alunno sia le sue caratteristiche uniche e originali sia la sua capacità di relazione e di collaborazione in un progetto condiviso; se nella sua classe prevede sia obiettivi educativi comuni che tutti gli alunni devono raggiungere sia obiettivi educativi individuali per diversi gruppi di alunni o per un solo alunno; se fa svolgere agli alunni sia attività di ap…

personalizzazione della didatticaobiettivi educativieducational objectivesschoolpractice personalized teachingscuolaSettore M-PED/03 - Didattica E Pedagogia Speciale
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Subjective stress, objective heart rate variability-based stress, and recovery on workdays among overweight and psychologically distressed individual…

2015

Background: The present study aimed to investigate how subjective self-reported stress is associated with objective heart rate variability (HRV)-based stress and recovery on workdays. Another aim was to investigate how physical activity (PA), body composition, and age are associated with subjective stress, objective stress, and recovery. Methods: Working-age participants (n = 221; 185 women, 36 men) in this cross-sectional study were overweight (body mass index, 25.3-40.1 kg/m(2)) and psychologically distressed (>= 3/12 points on the General Health Questionnaire). Objective stress and recovery were based on HRV recordings over 1-3 workdays. Subjective stress was assessed by the Perceived St…

physical activityPerceived Stress Scaleobjective stressOverweightToxicologyBody fat percentageRecoveryHeart rate variabilityMedicineMETABOLIC SYNDROMEASSOCIATIONSphysiological stress2. Zero hungerheart rate variabilityJOB STRAINEFFORT-REWARD IMBALANCEObjective stressRELIABILITYmedicine.symptomSafety ResearchBioelectrical impedance analysismedicine.medical_specialty515 PsychologyStress assessmentAPPLICABILITYrecoveryperceived stress scalestress assessmentpsychological stressMETAANALYSISHeart rate variabilitysubjective stressWork-related stressJob strainPhysical activitybusiness.industryResearchAMBULATORY BLOOD-PRESSUREPublic Health Environmental and Occupational HealthCARDIOVASCULAR-DISEASE RISK3141 Health care sciencePerceived stress scalePHYSICAL-ACTIVITYPsychological stressPhysiological stresswork-related stressPhysical therapySubjective stressGeneral Health QuestionnairebusinessBody mass indexJournal of Occupational Medicine and Toxicology
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Interactively Learning the Preferences of a Decision Maker in Multi-objective Optimization Utilizing Belief-rules

2020

Many real life problems can be modelled as multiobjective optimization problems. Such problems often consist of multiple conflicting objectives to be optimized simultaneously. Multiple optimal solutions exist to these problems, and a single solution cannot be said to be the best without preferences given by a domain expert. Preferences can be used to find satisfying solutions: optimal solutions, which best match the expert’s preferences. To model the preferences of the expert, and aid him/her in finding satisfying solutions, a novel method is proposed. The method utilizes machine learning combined with belief-rule based systems to adaptively train a belief rule based system to learn a domai…

preference modellingmallintaminenOptimization problemLinear programmingComputer scienceProcess (engineering)päätöksentukijärjestelmät02 engineering and technologyMachine learningcomputer.software_genreMulti-objective optimizationbelief-rule based systemsdecision makingoptimointiConflicting objectives020204 information systems0202 electrical engineering electronic engineering information engineeringPreference (economics)business.industryDecision makermonitavoiteoptimointiExpert systemmachine learningkoneoppiminenmultiple objective optimization020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerPython2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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Optimizing management to enhance multifunctionality in a boreal forest landscape

2017

The boreal biome, representing approximately one-third of remaining global forests, provides a number of crucial ecosystem services. A particular challenge in forest ecosystems is to reconcile demand for an increased timber production with provisioning of other ecosystem services and biodiversity. However, there is still little knowledge about how forest management could help solve this challenge. Hence, studies that investigate how to manage forests to reduce trade-offs between ecosystem services and biodiversity are urgently needed to help forest owners and policy makers take informed decisions. We applied seven alternative forest management regimes using a forest growth simulator in a la…

puunkorjuuforest planningclimate regulationkestävä metsätalousluonnon monimuotoisuusclimate change mitigationbiodiversiteettitrade-offsekosysteemipalvelutmetsätulothiilinielutmultiobjective optimizationmetsänhoitoFinland
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Analysis of the determinants of entrepreneurial intention: the case of Burkina Faso

2018

International audience; In this study, we propose to analyze students' entrepreneurial intention, drawing on Lazear's (2004) self-selection model. This model captures the role of "human capital" in employment assignment and emphasizes the importance of the variety of skills in the individual's entrepreneurial orientation. For this purpose, we have a database collected in 2017 from over 1000 students at Ouaga I and Ouaga II universities in Burkina Faso. The results of estimates obtained using the quantile regression method show a positive and significant effect of the diversity of skills on the intention score, mainly at the median level. Even if the effect is not strong, this result support…

quantile regression.Entrepreneurial intentionstudentsJEL: J - Labor and Demographic Economics/J.J2 - Demand and Supply of Labor/J.J2.J24 - Human Capital • Skills • Occupational Choice • Labor Productivity[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/Educationvariety of skillsJEL: L - Industrial Organization/L.L2 - Firm Objectives Organization and Behavior/L.L2.L26 - EntrepreneurshipJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions[SHS.ECO] Humanities and Social Sciences/Economics and Finance[SHS.ECO]Humanities and Social Sciences/Economics and Finance
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