Results 31 to 40 of about 5,147,506 (303)
Approximating Pareto frontier using a hybrid line search approach [PDF]
, 2010 This is the post-print version of the final paper published in Information Sciences. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting ...
Abraham, A, Grosan, C
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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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Non-convex Pareto Set navigation
, 2022 161167Many real world applications require the solution of multi-objective optimization problems. Exploration of the corresponding set of best compromises, i.e., the Pareto set, supports the decision making ...
Dimitri Nowak +7 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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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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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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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 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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