Results 21 to 30 of about 20,451 (264)
A PROPERTY OF BICRITERIA AFFINE VECTOR VARIATIONAL INEQUALITIES
Tạp chí Khoa học Đại học Đà Lạt, 2012 By a scalarization method, it is proved that both the Pareto solution set and the weak Pareto solution set of a bicriteria affine vector variational inequality have finitely many connected. components provided that a regularity condition is satisfied. An
Nguyễn Thị Thu Hương +3 more
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Two Objective Public Service System Design Problem
Communications, 2021 The public service system serves population spread over a geographical area from a given number of service centers. One of the possible approaches to the problem with two or more simultaneously applied contradicting objectives is ...
Jaroslav Janáček +3 more
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A New Generalization of The Pareto Distribution: With Application [PDF]
The Egyptian Statistical Journal, 2015 This paper introduces a new generalization of the Pareto distribution, based on a new family of lifetime distribution by Mansour et al (2015). We refer to the new distribution as Kumaraswamy new transmuted Pareto (Kw-NTP) distribution.
Salah M. Mohamed, Mahmoud M.Mansour
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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
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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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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
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
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Set of Pareto solutions for optimum cascade problems using MOPSO algorithm
Results in Engineering, 2022 The MOPSO approach was used to find the Pareto optimal set of the best cascade parameters. To achieve a desired concentration at the waste and product streams, using mass material balance, the objective functions were to reduce the number of machines and
H. Kargaran, S. Yazdani
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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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