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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Vydané v:	arXiv.org
Hlavní autori:	Neumann, Aneta, Neumann, Frank
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 01.11.2024
Predmet:	Algorithms Constraints Evolutionary algorithms Greedy algorithms Multiple objective analysis Optimization
ISSN:	2331-8422
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