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Interpolating Greedy and Reluctant Algorithms

P. Contucci·C. Giardina'·C. Giberti·F. Unguendoli·C. Vernia
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Abstract

In a standard NP-complete optimization problem we introduce an interpolating algorithm between the quick decrease along the gradient (greedy dynamics) and a slow decrease close to the level curves (reluctant dynamics). We find that for a fixed elapsed computer time the best performance of the optimization is reached at a special value of the interpolation parameter, considerably improving the results of the pure cases greedy and reluctant.

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P. Contucci, C. Giardina', C. Giberti, F. Unguendoli, C. Vernia. 2003-09-30. Interpolating Greedy and Reluctant Algorithms. https://arxiv.org/abs/math-ph/0309063

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