A Growth-based Optimization Algorithm for Lattice Heteropolymers
classification
❄️ cond-mat.stat-mech
cond-mat.soft
keywords
energyfoundheteropolymerslatticelowestpermpreviousstates
read the original abstract
An improved version of the pruned-enriched-Rosenbluth method (PERM) is proposed and tested on finding lowest energy states in simple models of lattice heteropolymers. It is found to outperform not only the previous version of PERM, but also all other fully blind general purpose stochastic algorithms which have been employed on this problem. In many cases it found new lowest energy states missed in previous papers. Limitations are discussed.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.