title: Growth-based optimization algorithm for lattice heteropolymers.
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.
authors.affiliation: John-von-Neumann Institute for Computing, Forschungszentrum Jülich, D-52425 Jülich, Germany.
authors.forename: Hsiao-Ping
authors.initials: HP
authors.lastname: Hsu
authors.forename: Vishal
authors.initials: V
authors.lastname: Mehra
authors.forename: Walter
authors.initials: W
authors.lastname: Nadler
authors.forename: Peter
authors.initials: P
authors.lastname: Grassberger