Convergence and complexity guarantees for a wide class of descent algorithms in nonconvex multi-objective optimization-Reference-Cited by-同舟云学术

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Convergence and complexity guarantees for a wide class of descent algorithms in nonconvex multi-objective optimization

Published:2024-05 Issue: Volume:54 Page:107115
ISSN:0167-6377
Container-title:Operations Research Letters
language:en
Short-container-title:Operations Research Letters

Author:

Lapucci Matteo^ORCID

Publisher

Elsevier BV

Reference25 articles.

1. Nonlinear Programming;Bertsekas,2016

2. A multi-objective direct algorithm for ship hull optimization;Campana;Comput. Optim. Appl.,2018

3. Lower bounds for finding stationary points I;Carmon;Math. Program.,2020

4. Evaluation Complexity of Algorithms for Nonconvex Optimization: Theory, Computation and Perspectives;Cartis,2022

5. Worst-case evaluation complexity of non-monotone gradient-related algorithms for unconstrained optimization;Cartis;Optimization,2015

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