A Performance Bound for the Greedy Algorithm in a Generalized Class of String Optimization Problems

Fuente: arXiv
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Hauptverfasser: Van Over, Brandon, Li, Bowen, Chong, Edwin K. P., Pezeshki, Ali
Format: Preprint
Veröffentlicht: 2024
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author Van Over, Brandon
Li, Bowen
Chong, Edwin K. P.
Pezeshki, Ali
author_facet Van Over, Brandon
Li, Bowen
Chong, Edwin K. P.
Pezeshki, Ali
contents We present a simple performance bound for the greedy scheme in string optimization problems that obtains strong results. Our approach vastly generalizes the group of previously established greedy curvature bounds by Conforti and Cornuéjols (1984). We consider three constants, $α_G$, $α_G'$, and $α_G''$ introduced by Conforti and Cornuéjols (1984), that are used in performance bounds of greedy schemes in submodular set optimization. We first generalize both of the $α_G$ and $α_G''$ bounds to string optimization problems in a manner that includes maximizing submodular set functions over matroids as a special case. We then derive a much simpler and computable bound that allows for applications to a far more general class of functions with string domains. We prove that our bound is superior to both the $α_G$ and $α_G''$ bounds and provide a counterexample to show that the $α_G'$ bound is incorrect under the assumptions in Conforti and Cornuéjols (1984). We conclude with two applications. The first is an application of our result to sensor coverage problems. We demonstrate our performance bound in cases where the objective function is set submodular and string submodular. The second is an application to a social welfare maximization problem with black-box utility functions.
format Preprint
id arxiv_https___arxiv_org_abs_2409_05020
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Performance Bound for the Greedy Algorithm in a Generalized Class of String Optimization Problems
Van Over, Brandon
Li, Bowen
Chong, Edwin K. P.
Pezeshki, Ali
Systems and Control
Data Structures and Algorithms
We present a simple performance bound for the greedy scheme in string optimization problems that obtains strong results. Our approach vastly generalizes the group of previously established greedy curvature bounds by Conforti and Cornuéjols (1984). We consider three constants, $α_G$, $α_G'$, and $α_G''$ introduced by Conforti and Cornuéjols (1984), that are used in performance bounds of greedy schemes in submodular set optimization. We first generalize both of the $α_G$ and $α_G''$ bounds to string optimization problems in a manner that includes maximizing submodular set functions over matroids as a special case. We then derive a much simpler and computable bound that allows for applications to a far more general class of functions with string domains. We prove that our bound is superior to both the $α_G$ and $α_G''$ bounds and provide a counterexample to show that the $α_G'$ bound is incorrect under the assumptions in Conforti and Cornuéjols (1984). We conclude with two applications. The first is an application of our result to sensor coverage problems. We demonstrate our performance bound in cases where the objective function is set submodular and string submodular. The second is an application to a social welfare maximization problem with black-box utility functions.
title A Performance Bound for the Greedy Algorithm in a Generalized Class of String Optimization Problems
topic Systems and Control
Data Structures and Algorithms
url https://arxiv.org/abs/2409.05020