A new infeasible proximal bundle algorithm for nonsmooth nonconvex constrained optimization
Sign Up to like & getrecommendations! Published in 2019 at "Computational Optimization and Applications"
DOI: 10.1007/s10589-019-00115-8
Abstract: Proximal bundle method has usually been presented for unconstrained convex optimization problems. In this paper, we develop an infeasible proximal bundle method for nonsmooth nonconvex constrained optimization problems. Using the improvement function we transform the… read more here.
Keywords: infeasible proximal; proximal bundle; nonconvex constrained; constrained optimization ... See more keywords
A proximal bundle-based algorithm for nonsmooth constrained multiobjective optimization problems with inexact data
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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
Lagrangian Relaxation Based on Improved Proximal Bundle Method for Short-Term Hydrothermal Scheduling
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DOI: 10.3390/su13094706
Abstract: Short-term hydrothermal scheduling (STHS) can improve water use efficiency, reduce carbon emissions, and increase economic benefits by optimizing the commitment and dispatch of hydro and thermal generating units together. However, limited by the large system… read more here.
Keywords: bundle method; short term; hydrothermal scheduling; proximal bundle ... See more keywords