Search results for "Multiobjective Optimization"

showing 10 items of 71 documents

Interactive Nonconvex Pareto Navigator for Multiobjective Optimization

2019

Abstract We introduce a new interactive multiobjective optimization method operating in the objective space called Nonconvex Pareto Navigator . It extends the Pareto Navigator method for nonconvex problems. An approximation of the Pareto optimal front in the objective space is first generated with the PAINT method using a relatively small set of Pareto optimal outcomes that is assumed to be given or computed prior to the interaction with the decision maker. The decision maker can then navigate on the approximation and direct the search for interesting regions in the objective space. In this way, the decision maker can conveniently learn about the interdependencies between the conflicting ob…

Mathematical optimizationInformation Systems and Managementinteractive multiobjective optimizationGeneral Computer ScienceComputer science0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchSpace (commercial competition)Multi-objective optimizationIndustrial and Manufacturing Engineering0502 economics and businessnonconvex problemsnavigationta113050210 logistics & transportation021103 operations researchpareto-tehokkuuspareto optimality05 social sciencesPareto principlemonitavoiteoptimointinavigointiModeling and Simulationmultiple objective programmingEuropean Journal of Operational Research
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Solving multiobjective optimization problems with decision uncertainty: an interactive approach

2018

We propose an interactive approach to support a decision maker to find a most preferred robust solution to multiobjective optimization problems with decision uncertainty. A new robustness measure that is understandable for the decision maker is incorporated as an additional objective in the problem formulation. The proposed interactive approach utilizes elements of the synchronous NIMBUS method and is aimed at supporting the decision maker to consider the objective function values and the robustness of a solution simultaneously. In the interactive approach, we offer different alternatives for the decision maker to express her/his preferences related to the robustness of a solution. To conso…

Economics and EconometricsMathematical optimization050208 financerobust solutionsComputer science05 social sciencesmultiple criteria decision makinginteractive methodsDecision makerNIMBUSmonitavoiteoptimointiVisualizationMultiobjective optimization problemRobustness (computer science)0502 economics and businesshandling uncertaintiesrobustness measureBusiness and International Management050203 business & managementJournal of Business Economics
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District metered area design through multicriteria and multiobjective optimization

2022

[EN] The design of district metered areas (DMA) in potable water supply systems is of paramount importance for water utilities to properly manage their systems. Concomitant to their main objective, namely, to deliver quality water to consumers, the benefits include leakage reduction and prompt reaction in cases of natural or malicious contamination events. Given the structure of a water distribution network (WDN), graph theory is the basis for DMA design, and clustering algorithms can be applied to perform the partitioning. However, such sectorization entails a number of network modifications (installing cut-off valves and metering and control devices) involving costs and operation changes,…

Mathematical optimization06.- Garantizar la disponibilidad y la gestión sostenible del agua y el saneamiento para todosGeneral Mathematicsgraph theoryGeneral Engineeringk-means clusteringk-means algorithmTOPSISGraph theorymetaheuristicfuzzy AHPdistrict metered areasMulti-objective optimizationwater distribution systemsmultiobjective optimizationMATEMATICA APLICADATOPSISMetaheuristicDecision makingFuzzy ahpMathematics
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A Priori Methods

1998

In the case of a priori methods, the decision maker must specify her or his preferences, hopes and opinions before the solution process. The difficulty is that the decision maker does not necessarily know beforehand what it is possible to attain in the problem and how realistic her or his expectations are. The working order in these methods is: 1) decision maker, 2) analyst.

Mathematical optimizationMultiobjective optimization problemWeighting coefficientComputer scienceOrder (business)Goal programmingA priori and a posterioriAspiration levelDecision maker
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Managing a boreal forest landscape for providing timber, storing and sequestering carbon

2015

Human well-being highly depends on ecosystem services and this dependence is expected to increase in the future with increasing population and economic growth. Studies that investigate trade-offs between ecosystem services are urgently needed for informing policy-makers. We examine the trade-offs between a provisioning (revenues from timber selling) and regulating (carbon storage and sequestration) ecosystem services among seven alternative forest management regimes in a large boreal forest production landscape. First, we estimate the potential of the landscape to produce harvest revenues and store/sequester carbon across a 50-year time period. Then, we identify conflicts between harvest re…

climate changecarbon storage and sequestrationmetsänkäsittelyecosystem service trade-offsmultiobjective optimizationFinland
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Surrogate assisted interactive multiobjective optimization in energy system design of buildings

2022

In this paper, we develop a novel evolutionary interactive method called interactive K-RVEA, which is suitable for computationally expensive problems. We use surrogate models to replace the original expensive objective functions to reduce the computation time. Typically, in interactive methods, a decision maker provides some preferences iteratively and the optimization algorithm narrows the search according to those preferences. However, working with surrogate model swill introduce some inaccuracy to the preferences, and therefore, it would be desirable that the decision maker can work with the solutions that are evaluated with the original objective functions. Therefore, we propose a novel…

computationally expensive problemsmodel managementLVI-suunnittelurakennussuunnitteluenergiajärjestelmätsurrogate-assisted optimizationmultiobjective optimizationpäätöksentukijärjestelmätevolutionary interactive methodsmonitavoiteoptimointi
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Assessing the Performance of Interactive Multiobjective Optimization Methods

2021

Interactive methods are useful decision-making tools for multiobjective optimization problems, because they allow a decision-maker to provide her/his preference information iteratively in a comfortable way at the same time as (s)he learns about all different aspects of the problem. A wide variety of interactive methods is nowadays available, and they differ from each other in both technical aspects and type of preference information employed. Therefore, assessing the performance of interactive methods can help users to choose the most appropriate one for a given problem. This is a challenging task, which has been tackled from different perspectives in the published literature. We present a …

General Computer ScienceComputer sciencepäätöksenteko0211 other engineering and technologiespreference information02 engineering and technologyMachine learningcomputer.software_genreMulti-objective optimizationTheoretical Computer ScienceTask (project management)menetelmätoptimointi0202 electrical engineering electronic engineering information engineering021103 operations researchbusiness.industryinteractive methodsmonitavoiteoptimointidecision-makersPreferenceVariety (cybernetics)Multiobjective optimization probleminteraktiivisuusmultiobjective optimization problems020201 artificial intelligence & image processingperformance assessmentArtificial intelligencebusinesscomputerACM Computing Surveys
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Connections Between Single-Level and Bilevel Multiobjective Optimization

2011

The relationship between bilevel optimization and multiobjective optimization has been studied by several authors and there have been repeated attempts to establish a link between the two. We unify the results from the literature and generalize them for bilevel multiobjective optimization. We formulate sufficient conditions for an arbitrary binary relation to guarantee equality between the efficient set produced by the relation and the set of optimal solutions to a bilevel problem. In addition, we present specially structured bilevel multiobjective optimization problems motivated by real-life applications and an accompanying binary relation permitting their reduction to single-level multiob…

bilevel optimizationMathematical optimizationMatematikControl and OptimizationRelation (database)Multiobjective programmingBinary relationTwo-level optimizationApplied MathematicsMulticriteriaManagement Science and Operations ResearchSingle levelmonitavoiteoptimointiMulti-objective optimizationBilevel optimizationSet (abstract data type)Reduction (complexity)Theory of computationmultiobjective optimizationMathematicsMathematics
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Managing a boreal forest landscape for providing timber, storing and sequestering carbon

2015

Human well-being highly depends on ecosystem services and this dependence is expected to increase in the future with increasing population and economic growth. Studies that investigate trade-offs between ecosystem services are urgently needed for informing policy-makers. We examine the trade-offs between a provisioning (revenues from timber selling) and regulating (carbon storage and sequestration) ecosystem services among seven alternative forest management regimes in a large boreal forest production landscape. First, we estimate the potential of the landscape to produce harvest revenues and store/sequester carbon across a 50-year time period. Then, we identify conflicts between harvest re…

Natural resource economicsta1172Geography Planning and DevelopmentForest managementPopulationforest managementClimate changeManagement Monitoring Policy and LawCarbon sequestrationEcosystem servicescarbon storage and sequestrationEconomicsProduction (economics)multiobjective optimizationeducationFinlandNature and Landscape ConservationGlobal and Planetary Changeeducation.field_of_studyEcologybusiness.industryEnvironmental resource managementProvisioning15. Life on landta4112Investment (macroeconomics)Agricultural and Biological Sciences (miscellaneous)climate change13. Climate actionecosystem service trade-offsta1181businessEcosystem Services
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Data from: Optimizing management to enhance multifunctionality in a boreal forest landscape

2016

1. 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 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. 2. We applied seven alternative forest management regimes using a forest growth simulator in a…

trade-offsforest planningtimbercarbonmultiobjective optimizationecosystem servicesFinlandclimate change mitigationbiodiversity
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