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Optimization Strategies in Complex Systems

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

We consider a class of combinatorial optimization problems that emerge in a variety of domains among which: condensed matter physics, theory of financial risks, error correcting codes in information transmissions, molecular and protein conformation, image restoration. We show the performances of two algorithms, the``greedy'' (quick decrease along the gradient) and the``reluctant'' (slow decrease close to the level curves) as well as those of a``stochastic convex interpolation''of the two. Concepts like the average relaxation time and the wideness of the attraction basin are analyzed and their system size dependence illustrated.

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L. Bussolari, P. Contucci, C. Giardina', C. Giberti, F. Unguendoli, C. Vernia. 2003-09-03. Optimization Strategies in Complex Systems. https://arxiv.org/abs/math/0309058

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