Parallel genetic algorithms (PGAs): Master slave paradigm approach using MPI

被引：8
|
作者：
Ismail, MA [1 ]
机构：
[1] Ned Univ Engn & Technol, Karachi, Pakistan
来源：
E-TECH 2004 | 2004年
关键词：
D O I：
10.1109/ETECH.2004.1353848
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Genetic Algorithms (GAs) are powerful search techniques that are used to solve difficult problems in many disciplines. Unfortunately, they can be very demanding in terms of computation load and memory. Parallel Genetic Algorithms (PGAs) are parallel implementations of GAs which can provide considerable gains in terms of performance and scalability. PGAs can easily be implemented on networks of heterogeneous computers or on parallel mainframes. In this paper I have discussed the concept of PGAs and implementation of master slave paradigm (one of the possible approaches in designing of PGAs) using MPI library on a Beowulf Linux Cluster.
引用
收藏
页码：83 / 87
页数：5
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