Affordable Access

deepdyve-link
Publisher Website

A Growth-based Optimization Algorithm for Lattice Heteropolymers

Authors
  • Hsu, Hsiao-Ping
  • Mehra, Vishal
  • Nadler, Walter
  • Grassberger, Peter
Type
Preprint
Publication Date
Apr 11, 2003
Submission Date
Sep 16, 2002
Identifiers
DOI: 10.1103/PhysRevE.68.021113
arXiv ID: cond-mat/0209366
Source
arXiv
License
Unknown
External links

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.

Report this publication

Statistics

Seen <100 times