A framework yields poly(n,k) or f(k)poly(n) time (1-epsilon)-approximations for diverse-solution variants of several NP-hard problems using resource augmentation and k-best enumeration.
Diversity of solutions: An exploration through the lens of fixed- parameter tractability theory.Artificial Intelligence, 303:103644, 2022
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A Framework for the Design of Efficient Diversification Algorithms to NP-Hard Problems
A framework yields poly(n,k) or f(k)poly(n) time (1-epsilon)-approximations for diverse-solution variants of several NP-hard problems using resource augmentation and k-best enumeration.