Object-oriented library of parallel genetic algorithms and its implementation on workstations and HP/Convex Exemplar

被引:0
|
作者
Bubak, M
Ciesla, W
Sowa, K
机构
[1] AGH Univ Sci & Technol, Inst Comp Sci, PL-30059 Krakow, Poland
[2] CYFRONET, Acad Comp Ctr, PL-30059 Krakow, Poland
来源
HIGH-PERFORMANCE COMPUTING AND NETWORKING | 1997年 / 1225卷
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an object-oriented library of parallel genetic algorithms based on TOLKIEN C++ sequential library. SPMD programming paradigm is applied and Para++ environment is used for message passing. Two main approaches to parallelisation of genetic algorithms were applied: island and global population models. The library was implemented on heterogeneous network of workstations and on HP/Convex Exemplar SPP1600. Obtained results confirm that the library enables easy development of parallel programs exploiting genetic algorithm approach.
引用
收藏
页码:514 / 523
页数:10
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