Bundle-based descent method for nonsmooth multiobjective DC optimization with inequality constraints
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Global Optimization"
DOI: 10.1007/s10898-018-0651-0
Abstract: Multiobjective DC optimization problems arise naturally, for example, in data classification and cluster analysis playing a crucial role in data mining. In this paper, we propose a new multiobjective double bundle method designed for nonsmooth… read more here.
Keywords: based descent; method; bundle based; optimization ... See more keywords
A proximal bundle-based algorithm for nonsmooth constrained multiobjective optimization problems with inexact data
Sign Up to like & getrecommendations! Published in 2021 at "Numerical Algorithms"
DOI: 10.1007/s11075-021-01128-3
Abstract: In this paper, a proximal bundle-based method for solving nonsmooth nonconvex constrained multiobjective optimization problems with inexact information is proposed and analyzed. In this method, each objective function is treated individually without employing any scalarization.… read more here.
Keywords: proximal; proximal bundle; bundle based; multiobjective optimization ... See more keywords
Timber selling policies using bundle-based auction: The case of public forests in Québec
Sign Up to like & getrecommendations! Published in 2018 at "Forest Policy and Economics"
DOI: 10.1016/j.forpol.2018.07.016
Abstract: In the province of Quebec, the government provides 25% of the volume of timber that is annually cut in crown forests through sealed-bid one-winner auctions. It was noted that many offers are made for some… read more here.
Keywords: timber selling; policies using; selling policies; auction ... See more keywords
Depixelation and image restoration with meta-learning in fiber-bundle-based endomicroscopy.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.447495
Abstract: In order to efficiently remove honeycomb artifacts and restore images in fiber-bundle-based endomicroscopy, we develop a meta-learning algorithm in this work. Two sub-networks are used to extract different levels of features. Meta-training is employed to… read more here.
Keywords: meta learning; based endomicroscopy; bundle based; fiber bundle ... See more keywords
Fiber-bundle-based 2D Raman and Rayleigh imaging for major species and temperature measurement in laminar flames.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.467713
Abstract: In this Letter, we introduce a novel fiber-bundle-based 2D Raman and Rayleigh imaging system for 2D measurements of major species mole fractions and temperature in flames. A cascade of dichroic mirrors and bandpass filters separate… read more here.
Keywords: raman rayleigh; bundle based; based raman; major species ... See more keywords