Results 51 to 60 of about 2,735,316 (329)
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2021 In this paper, a Pareto front (PF)-based sampling algorithm, PF-Voronoi sampling method, is proposed to solve computationally intensive multi-objective problems of medium size.
Changkun Wu +4 more
semanticscholar +1 more source
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 Joint Inversion of 2D magnetometric and gravity data- synthetic study [PDF]
E3S Web of Conferences, 2019 Pareto joint inversion for two or more data sets is an attractive and promising tool which eliminates target functions weighing and scaling, providing a set of acceptable solutions composing a Pareto front.
Danek Tomasz +3 more
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Energies, 2023 This work presents a design for uninterruptible power supply inverters using Pareto front optimization for improved cost and efficiency. Three PWM modulation techniques applied to the full-bridge inverter are analyzed. As a result, the best MOSFET design
Edemar O. Prado +3 more
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Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization [PDF]
AAAI Conference on Artificial IntelligenceWe consider the problem of multi-objective optimization (MOO) of expensive black-box functions with the goal of discovering high-quality and diverse Pareto fronts where we are allowed to evaluate a batch of inputs.
Alaleh Ahmadianshalchi +2 more
semanticscholar +1 more source
Efficient Elitist Cooperative Evolutionary Algorithm for Multi-Objective Reinforcement Learning
IEEE Access, 2023 Sequential decision-making problems with multiple objectives are known as multi-objective reinforcement learning. In these scenarios, decision-makers require a complete Pareto front that consists of Pareto optimal solutions. Such a front enables decision-
Dan Zhou, Jiqing Du, Sachiyo Arai
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, 2023 Pareto fronts can be convex (A), concave (B), or the mixture of both. Additionally, the set of solutions can have multiple Pareto fronts, which can be identified by ignoring previously determined non-dominated solutions and repeating the search for ...
János Abonyi (10106040) +3 more
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Improving Pareto Front Learning via Multi-Sample Hypernetworks [PDF]
, 2023 Pareto Front Learning (PFL) was recently introduced as an effective approach to obtain a mapping function from a given trade-off vector to a solution on the Pareto front, which solves the multi-objective optimization (MOO) problem.
Hoang, Long P. +3 more
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Multivariable controller design using pareto front [PDF]
, 2011 A multivariable thermal system with two inputs and two outputs is investigated. Its inputs are a pair of heaters controlled by a computer while its outputs are temperatures measured by two sensors.
Ho, Ka Wing
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Time–cost–quality tradeoff Pareto front using MOIWCA.
, 2023 Time–cost–quality tradeoff Pareto front using MOIWCA.
Xuemei Li (232384) +2 more
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