Statistical mechanics and disordered systems

Authors:
Scott Kirkpatrick;Robert H. Swendsen
Affiliations:
IBM Research, Yorktown Heights, NY;Carnegie-Mellon Univ., Pittsburgh, PA
Venue:
Communications of the ACM - Lecture notes in computer science Vol. 174
Year:
1985

Citing 0
Cited 5

Importance Sampling for Ising Computers Using One-Dimensional Cellular Automata

IEEE Transactions on Computers
Where the really hard problems are

IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
From local search to global conclusions: migrating spin glass-based distributed portfolio selection

IEEE Transactions on Evolutionary Computation
Open environment for 2d lattice-grain CA

ACRI'10 Proceedings of the 9th international conference on Cellular automata for research and industry
Extremal optimization vs. learning automata: Strategies for spin selection in portfolio selection problems

Applied Soft Computing

Quantified Score

Hi-index	0.01

Visualization

Abstract

Since computers are able to simulate the equilibrium properties of model systems, they may also prove useful for solving the hard optimization problems that arise in the engineering of complex systems.