Results 11 to 20 of about 65,077 (195)

pyMCMA: Uniformly distributed Pareto-front representation

SoftwareX
pyMCMA is the Python implementation of a novel method for autonomous computation of the Pareto-front representation composed of efficient solutions distributed uniformly in terms of distances between neighbor Pareto solutions. pyMCMA supports scientific, i.e. objective, model analysis by providing preference-free Pareto front representation.
Marek Makowski, Janusz Granat, Andrii Shekhovtsov, Zbigniew Nahorski, Jinyang Zhao   +4 more
openaire   +5 more sources

A self-driving laboratory advances the Pareto front for material properties. [PDF]

Nat Commun, 2022
Useful materials must satisfy multiple objectives. The Pareto front expresses the trade-offs of competing objectives. This work uses a self-driving laboratory to map out the Pareto front for making highly conductive coatings at low temperatures.
MacLeod BP, Parlane FGL, Rupnow CC, Dettelbach KE, Elliott MS, Morrissey TD, Haley TH, Proskurin O, Rooney MB, Taherimakhsousi N, Dvorak DJ, Chiu HN, Waizenegger CEB, Ocean K, Mokhtari M, Berlinguette CP.   +15 more
europepmc   +2 more sources

The fairness‐accuracy Pareto front [PDF]

Statistical Analysis and Data Mining: The ASA Data Science Journal, 2021
AbstractAlgorithmic fairness seeks to identify and correct sources of bias in machine learning algorithms. Confoundingly, ensuring fairness often comes at the cost of accuracy. We provide formal tools in this work for reconciling this fundamental tension in algorithm fairness.
Susan Wei, Marc Niethammer
openaire   +3 more sources

Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making

IEEE Access, 2023
This work introduces the following concepts of directional and estimated directional Pareto front to encourage multi-objective decision making, especially when the Pareto front exists in limited regions in the objective space. The general output of multi-
Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato   +2 more
doaj   +1 more source

Two-Sided Pareto Front Approximations [PDF]

Journal of Optimization Theory and Applications, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kaliszewski, I., Miroforidis, J.
openaire   +2 more sources

Active Learning of Pareto Fronts [PDF]

IEEE Transactions on Neural Networks and Learning Systems, 2014
This paper introduces the active learning of Pareto fronts (ALP) algorithm, a novel approach to recover the Pareto front of a multiobjective optimization problem. ALP casts the identification of the Pareto front into a supervised machine learning task. This approach enables an analytical model of the Pareto front to be built.
Campigotto, Paolo, Passerini, Andrea, Battiti, Roberto   +2 more
openaire   +2 more sources

Direct Tracking of the Pareto Front of a Multi-Objective Optimization Problem

Journal of Marine Science and Engineering, 2020
In this paper, some methodologies aimed at the identification of the Pareto front of a multi-objective optimization problem are presented and applied. Three different approaches are presented: local sampling, Pareto front resampling and Normal Boundary ...
Daniele Peri
doaj   +1 more source

Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics

BMC Bioinformatics, 2022
Background Single-cell RNA sequencing (scRNA-seq) technology has contributed significantly to diverse research areas in biology, from cancer to development.
Hui Li, Davis J. McCarthy, Heejung Shim, Susan Wei   +3 more
doaj   +1 more source

Penyelesaian Masalah Optimisasi Multiobjektif Nonlinear Menggunakan Pendekatan Pareto Front dalam Metode Pembobotan

Jurnal Matematika Integratif, 2020
Teori optimisai merupakan salah satu disiplin ilmu matematika yang banyak diterapkan dalam dunia nyata. Hampir semua masalah optimisasi di dunia nyata memiliki banyak fungsi objektif (multiobjektive) yang harus dipenuhi secara simultan dan seringkali ...
Syarifah Inayati, Rahmawati Rahmawati
doaj   +1 more source

On upper approximations of Pareto fronts [PDF]

Journal of Global Optimization, 2018
In one of our earlier works, we proposed to approximate Pareto fronts to multiobjective optimization problems by two-sided approximations, one from inside and another from outside of the feasible objective set, called, respectively, lower shell and upper shell. We worked there under the assumption that for a given problem an upper shell exists.
Kaliszewski, I., Miroforidis, J.
openaire   +3 more sources