Landscape statistics of the low-autocorrelation binary string problem

DOI10.1088/0305-4470/33/48/304zbMath0970.82020arXivcond-mat/0006478OpenAlexW2090484899WikidataQ56991882 ScholiaQ56991882MaRDI QIDQ2703477

Peter F. Stadler, José F. Fontanari, Fernando Fagundes Ferreira

Publication date: 5 March 2001

Published in: Journal of Physics A: Mathematical and General (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/cond-mat/0006478

zbMATH Keywords

spin glassesenergy landscapedisordered mean field approximation

Mathematics Subject Classification ID

Disordered systems (random Ising models, random Schrödinger operators, etc.) in equilibrium statistical mechanics (82B44) Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics (82B20)

Related Items (3)

Combinatorial vector fields and the valley structure of fitness landscapes ⋮ Genetic local search for multicast routing with pre-processing by logarithmic simulated annealing ⋮ Landscapes on spaces of trees

This page was built for publication: Landscape statistics of the low-autocorrelation binary string problem