Results 31 to 40 of about 14,697 (286)
A Method for Reducing the Cardinality of the Pareto Front [PDF]
, 2012 Multi-objective problems are characterised by the presence of a set of optimal trade-off solutions –a Pareto front–, from which a solution has to be selected by a decision maker. However, selecting a solution from a Pareto front depends on large quantities of solutions to select from and dimensional complexity due to many involved objectives, among ...
Ivan Cabezas, María P. Trujillo
openaire +1 more source
Public Service System Design With Conflicting Criteria
IEEE Access, 2021 Multi-criteria optimization problems represent a crucial task for any designer of a public service system due to conflicting criteria, which have to be faced.
Jaroslav Janacek, Rene Fabricius
doaj +1 more source
Mathematical and Computational Applications, 2022 Multi-objective evolutionary algorithms (MOEAs) have been successfully applied for the numerical treatment of multi-objective optimization problems (MOP) during the last three decades.
Carlos Ignacio Hernández Castellanos +1 more
doaj +1 more source
Pareto Based Performance Framework for Urban Greening: Visualizing Trade offs between Cost, Carbon Sequestration, and Shading [PDF]
E3S Web of ConferencesUrban greening in construction planning often entails trade offs between cost and ecological performance. This study develops a multi-objective optimization framework that explicitly exposes and interprets the trade-offs among cost, carbon sequestration,
Lin Yu-Cian, Chan Ying-Chieh
doaj +1 more source
Applied SciencesBackground: Multi-objective optimization (MOO) is widely used in engineering design and energy systems to represent trade-offs through Pareto fronts. Yet practical deployment requires moving from a non-dominated set to an implementable preferred design ...
Marwa Mekky, Raphael Lechner
doaj +1 more source
From a Pareto Front to Pareto Regions: A Novel Standpoint for Multiobjective Optimization
Mathematics, 2021 This work presents a novel approach for multiobjective optimization problems, extending the concept of a Pareto front to a new idea of the Pareto region.
Carine M. Rebello +6 more
doaj +1 more source
Optimal controller comparison using Pareto fronts
, 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
core +1 more source
The fairness-accuracy Pareto front
, 2022 Algorithmic fairness seeks to identify and correct sources of bias in machine learning algorithms. Confoundingly, ensuring fairness often comes at the cost of accuracy.
Wei, S, Niethammer, M
core +1 more source
Multi-Objective Catalyst Discovery in High-Entropy Alloy Composition Space: The Role of Noble Metals on the Pareto Front for Oxygen Reduction Reaction. [PDF]
Angew Chem Int Ed EnglPareto optimal compositions of alloy catalyst for oxygen reduction reaction are uncovered through multi‐objective Bayesian optimization of activity, stability, and material cost in an eight‐element high‐entropy alloy composition space. The substantial Pareto front obtained is compared to experimental literature and analyzed to elucidate the roles and ...
Plenge MK +4 more
europepmc +3 more sources
PAVED: Pareto Front Visualization for Engineering Design [PDF]
Computer Graphics Forum, 2020 AbstractDesign problems in engineering typically involve a large solution space and several potentially conflicting criteria. Selecting a compromise solution is often supported by optimization algorithms that compute hundreds of Pareto‐optimal solutions, thus informing a decision by the engineer.
Lena Cibulski +3 more
openaire +2 more sources