Implementation of parallel and distributed genetic algorithms by using MPI on network of workstations

被引：0
|
作者：
Xiong, SW [1 ]
Chu, WJ [1 ]
Guo, JL [1 ]
机构：
[1] Wuhan Univ Technol, Inst Comp Sci & Technol, Wuhan 430070, Peoples R China
来源：
COMPUTER SCIENCE AND TECHNOLOGY IN NEW CENTURY | 2001年
关键词：
parallel and distributed genetic algorithms; network of workstation; message passing interface;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Parallel genetic algorithms arc effective to solve large problems. Most of them are implemented in massive parallel computer. The paper overviews existing models in the current literature concerning parallel and distributed genetic algorithms. A method based on MPI on network of workstations is presented for parallel and distributed genetic algorithms and the implementation of Ackley function optimization problem using island model parallel algorithms is introduced. Sources of parallelism, ways of exploring it and forms of a distributed control of execution of MPI-based parallel genetic algorithms are discussed.
引用
收藏
页码：449 / 453
页数：3
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