Optimizing Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-Objective Algorithms

Many real-world optimization problems can be stated in terms of submodular functions. Furthermore, these real-world problems often involve uncertainties which may lead to the violation of given constraints. A lot of evolutionary multi-objective algorithms following the Pareto optimization approach h...

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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Neumann, Aneta, Neumann, Frank
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 01.11.2024
Subjects:	Algorithms Constraints Evolutionary algorithms Greedy algorithms Multiple objective analysis Optimization
ISSN:	2331-8422
Online Access:	Get full text
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