Balancing constraints and objective functions in constrained evolutionary multiobjective optimization is not an easy task. Overemphasis on constraints satisfaction may easily lead to the search to …
We study the issue of strong convergence of inexact proximal point algorithms (introduced by Rockafellar in [SIAM J. Control Optim., 14 (1976), pp. 877–898]) for maximal monotone operators on Hil…
The aim of this article is to investigate a new system for the smart city vertical market, highlight the smart city vertical market's vitality, and promote smart city development. While constructin…
We study the convergence issue for the gradient algorithm (employing general step sizes) for optimization problems on general Riemannian manifolds (without curvature constraints). Under the assumpt…