Growth-based optimization algorithm for lattice heteropolymers

被引：51

作者：

Hsu, HP ^{[1
]}

Mehra, V ^{[1
]}

Nadler, W ^{[1
]}

Grassberger, P ^{[1
]}

机构：

[1] Forschungszentrum Julich, John von Neumann Inst Comp, D-52425 Julich, Germany

来源：

PHYSICAL REVIEW E | 2003年 / 68卷 / 02期

关键词：

D O I：

10.1103/PhysRevE.68.021113

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

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.

引用

页数：4

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