Global optimization studies on the 1-D phase problem

被引：4
|
作者：
Zwick, M
Lovell, B
Marsh, J
机构：
[1] Systems Science Ph.D. Program, Portland State University, Portland
来源：
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS | 1996年 / 25卷 / 01期
关键词：
phase problem; computational crystallography; global optimization; Genetic Algorithm; simulated annealing;
D O I：
10.1080/03081079608945134
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The Genetic Algorithm (GA) and Simulated Annealing (SA), two techniques for global optimization, were applied to a reduced (simplified) form of the phase problem (RPP) in computational crystallography. Results were compared with those of ''enhanced pair flipping'' (EPF), a more elaborate problem-specific algorithm incorporating local and global searches. Not surprisingly, EPF did better than the GA or SA approaches, but the existence of GA and SA techniques more advanced than those used in this study suggest that these techniques still hold promise for phase problem applications. The RPP is, furthermore, an excellent test problem for such global optimization methods.
引用
收藏
页码：47 / 59
页数：13
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