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Multi-objective spatial optimization of forest fire monitoring networks: An integrated GIS-MCDM framework enhanced by improved genetic algorithms. [PDF]
Wang L, Feng J, Mao J, Zhang Y, An J.
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Subset selection based fusion for biomedical information retrieval tasks. [PDF]
Sun J, Wu S, Shen X, Nugent C, Lu H.
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AutoXAI: a meta-learning approach for recommendation of explanation techniques. [PDF]
Shawi RE, Jamel L.
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Submodular Functions and Rooted Trees
Theory of Computing Systems, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yaokun Wu, Yinfeng Zhu
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Maximizing Non-Monotone Submodular Functions
48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 2007Submodular maximization generalizes many important problems including Max Cut in directed and undirected graphs and hypergraphs, certain constraint satisfaction problems, and maximum facility location problems. Unlike the problem of minimizing submodular functions, the problem of maximizing submodular functions is NP-hard.
Uriel Feige +2 more
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Submodular function minimization
Mathematical Programming, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Submodular Functions Maximization Problems
2018This chapter focuses on maximizing a special class of functions called submodular functions under various combinatorial constraints. It deals with algorithms maximizing submodular functions subject to combinatorial constraints. The chapter discusses basic discrete algorithms for maximizing submodular functions subject to various constraints.
Niv Buchbinder, Moran Feldman
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Decomposition of submodular functions
Combinatorica, 1983A decomposition theory for submodular functions is described. Any such function is shown to have a unique decomposition consisting of indecomposable functions and certain highly decomposable functions, and the latter are completely characterized. Applications include decompositions of hypergraphs based on edge and vertex connectivity, the decomposition
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