Results 21 to 30 of about 5,005,250 (153)
Pareto-optimized solution set under preventive maintenance strategy at 2-inspection maintenance.
, 2023 Pareto-optimized solution set under preventive maintenance strategy at 2-inspection maintenance.
Chengjie Rao (16884149) +4 more
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Bandit Pareto Set Identification: the Fixed Budget Setting
CoRR, 2023 We study a multi-objective pure exploration problem in a multi-armed bandit model. Each arm is associated to an unknown multi-variate distribution and the goal is to identify the distributions whose mean is not uniformly worse than that of another distribution: the Pareto optimal set.
Kone, Cyrille +2 more
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Determining a Robust, Pareto Optimal Geometry for a Welded Joint [PDF]
, 2014 Multi-criteria optimization problems are known to give rise to a set of Pareto optimal solutions where one solution cannot be regarded as being superior to another.
Radhi, Hazim E. +3 more
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Pareto-optimized solution set under essential maintenance strategy at 1-inspection maintenance.
, 2023 Pareto-optimized solution set under essential maintenance strategy at 1-inspection maintenance.
Chengjie Rao (16884149) +4 more
core +1 more source
Topology of Pareto Sets of Strongly Convex Problems [PDF]
SIAM Journal on Optimization, 2020 21 pages. Remarks 4.4 and 4.5 are added. A new application is given in section 5.3.
Naoki Hamada +4 more
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Data-driven analysis of pareto set topology [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference, 2018 8 pages, accepted at GECCO'18 as a full ...
Naoki Hamada, Keisuke Goto 0001
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Optimal controller comparison using Pareto fronts [PDF]
, 2010 Includes abstract.Includes bibliographical references (leaves 131-133).New design methods in Control Systems are regularly proposed. These new methods are typically compared to existing methods in a focused manner that highlights certain criteria, but ...
David Moore, Moore, David
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Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set
CoRR, 2021 Many modern machine learning applications, such as multi-task learning, require finding optimal model parameters to trade-off multiple objective functions that may conflict with each other. The notion of the Pareto set allows us to focus on the set of (often infinite number of) models that cannot be strictly improved.
Mao Ye 0006, Qiang Liu 0001
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Pareto Sums of Pareto Sets: Lower Bounds and Algorithms
AlgorithmicaAbstract In bi-criteria optimization problems, the goal is typically to compute the set of Pareto-optimal solutions. Many algorithms for these types of problems rely on efficient merging or combining of partial solutions and filtering of dominated solutions in the resulting sets.
Daniel Funke +4 more
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Efficient Identification of the Pareto Optimal Set [PDF]
, 2014 In this paper, we focus on expensive multiobjective optimization problems and propose a method to predict an approximation of the Pareto optimal set using classification of sampled decision vectors as dominated or nondominated. The performance of our method, called EPIC, is demonstrated on a set of benchmark problems used in the multiobjective ...
Ingrida Steponavice +3 more
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