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Pareto optimization for subset selection with dynamic cost constraints
Artificial Intelligence 302 (C):103597 (2022)
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Citations of this work
Pareto optimization for subset selection with dynamic cost constraints.Vahid Roostapour, Aneta Neumann, Frank Neumann & Tobias Friedrich - 2022 - Artificial Intelligence 302 (C):103597.
Result diversification by multi-objective evolutionary algorithms with theoretical guarantees.Chao Qian, Dan-Xuan Liu & Zhi-Hua Zhou - 2022 - Artificial Intelligence 309 (C):103737.
References found in this work
Random constraint satisfaction: Easy generation of hard (satisfiable) instances.Ke Xu, Frédéric Boussemart, Fred Hemery & Christophe Lecoutre - 2007 - Artificial Intelligence 171 (8-9):514-534.
Pareto optimization for subset selection with dynamic cost constraints.Vahid Roostapour, Aneta Neumann, Frank Neumann & Tobias Friedrich - 2022 - Artificial Intelligence 302 (C):103597.
Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms.Chao Qian, Yang Yu, Ke Tang, Xin Yao & Zhi-Hua Zhou - 2019 - Artificial Intelligence 275 (C):279-294.
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