Results 31 to 40 of about 190,364 (297)
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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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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Predictive control of high-power three-level PWM rectifier without weighting coefficient
Gong-kuang zidonghua, 2021 A high-power three-level PWM rectifier predictive control algorithm without weight coefficients is proposed for the problem of complicated design of the weight coefficients of the cost function in the traditional predictive control algorithm.
CHENG Weiwei, WU Rui
doaj +1 more source
Size versus truthfulness in the House Allocation problem [PDF]
, 2019 We study the House Allocation problem (also known as the Assignment problem), i.e., the problem of allocating a set of objects among a set of agents, where each agent has ordinal preferences (possibly involving ties) over a subset of the objects.
Krysta, Piotr +3 more
core +3 more sources
Algorithm of finding a set of Pareto on a final set of initial data
Цифровая трансформация, 2017 A two-stage algorithm for solving the optimization task for finding the Pareto set on a given finite set of initial data N is proposed. A method is developed for finding a subset of dominated elements of the initial set N by constructing the Pareto ...
S. V. Chebakov, L. V. Serebryanaya
doaj +2 more sources
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
openaire +6 more sources
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Additive Manufacturing of NiTi Shape Memory Alloys for Elastocaloric Applications: A Review
Advanced Functional Materials, EarlyView.Additive manufacturing enables complex NiTi architectures that overcome key limitations in elastocaloric refrigeration, including poor heat transfer and high mechanical work input. This review surveys recent advances in LPBF‐ and DED‐fabricated NiTi shape memory alloys for elastocaloric applications, highlighting process–structure–performance ...
Ignatius Andre Setiawan +7 more
wiley +1 more source
Reliability-based multiobjective optimization using the satisficing trade-off method
Mechanical Engineering Journal, 2014 This study proposes a reliability-based multiobjective optimization (RBMO) approach using the satisficing trade-off method (STOM). STOM is a multiobjective optimization method that obtains a highly accurate single Pareto solution, regardless of the shape
Nozomu KOGISO +2 more
doaj +1 more source