Search results for "Bilevel optimization"

showing 5 items of 5 documents

Two-Player Noncooperative Games over a Freight Transportation Network''

2004

A game between two players acting on the same road transportation network is considered in this paper. The first player aims at minimizing the transportation costs, whereas the second player aims at maximizing her profit (or, in general, her utility) that is proportional to the flow passing through the arcs under her control. We introduce bilevel linear programming formulations for this problem. We derive conditions of existence and properties of the equilibrium points and propose an algorithm finding a local optimal solution. Finally, we present an application of the model to a real system involving trucks travelling through Europe from a Middle Eastern country.

Equilibrium pointTrucknon-cooperative gamesComputer Science::Computer Science and Game TheoryNon-cooperative gameOperations researchLinear programmingComputer sciencebilevel programmingTransportationfreight transport; non-cooperative games; network; bilevel programmingFlow networkBilevel optimizationProfit (economics)Freight transportationNoncooperative gamesfreight transportBilevel programming; Freight transportation; Networks; Noncooperative gamesnon-cooperative gamenetworkNetworksGame theoryCivil and Structural Engineering
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Implicit differentiation for fast hyperparameter selection in non-smooth convex learning

2022

International audience; Finding the optimal hyperparameters of a model can be cast as a bilevel optimization problem, typically solved using zero-order techniques. In this work we study first-order methods when the inner optimization problem is convex but non-smooth. We show that the forward-mode differentiation of proximal gradient descent and proximal coordinate descent yield sequences of Jacobians converging toward the exact Jacobian. Using implicit differentiation, we show it is possible to leverage the non-smoothness of the inner problem to speed up the computation. Finally, we provide a bound on the error made on the hypergradient when the inner optimization problem is solved approxim…

FOS: Computer and information sciencesbilevel optimizationComputer Science - Machine Learninghyperparameter selec- tionMachine Learning (stat.ML)[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]generalized linear modelsMachine Learning (cs.LG)Convex optimizationStatistics - Machine Learning[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Optimization and Control (math.OC)FOS: Mathematics[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]hyperparameter optimizationLassoMathematics - Optimization and Control[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]
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Simultaneous and multi-criteria optimization of TS requirements and maintenance at NPPs

2002

Abstract One of the main concerns of the nuclear industry is to improve the availability of safety-related systems at nuclear power plants (NPPs) to achieve high safety levels. The development of efficient testing and maintenance has been traditionally one of the different ways to guarantee high levels of systems availability, which are implemented at NPP through technical specification and maintenance requirements (TS&M). On the other hand, there is a widely recognized interest in using the probabilistic risk analysis (PRA) for risk-informed applications aimed to emphasize both effective risk control and effective resource expenditures at NPPs. TS&M-related parameters in a plant are associ…

Mathematical optimizationMeta-optimizationOptimization problemNuclear Energy and EngineeringComputer scienceProbabilistic-based design optimizationMulti-swarm optimizationMulti-objective optimizationBilevel optimizationMetaheuristicEngineering optimizationAnnals of Nuclear Energy
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Modelling Airlines Competition on Fares and Frequencies of Service by Bi-level Optimization

2011

Abstract The research aims to understand how airlines make operative decisions on fares and frequencies of service in a competitive envi-ronment. A game approach has been developed to model the airlines’ choices in a duopolistic market. In particular, the short haul market for intercity linkages has been investigated. In this segment the air mode is in competition with other ground modes (i.e. road and high speed rail). A bi-level optimization program has been realized. The variables of model are: fares and frequencies of airlines.

Operations researchBilevel optimization Game theory Airlines High speed railmedia_common.quotation_subjectBilevel optimizationMode (statistics)AirlinesBilevel optimizationHigh speed railTransport engineeringCompetition (economics)Settore ICAR/05 - TrasportiService (economics)General Materials ScienceBusinessGame theoryGame theorymedia_common
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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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