Using genetic algorithms in software optimization

被引：0
|
作者：
Ivan, Ion [1 ]
Boja, Catalin [1 ]
Vochin, Marius [1 ]
Nitescu, Iulian [1 ]
Toma, Cristian [1 ]
Popa, Marius [1 ]
机构：
[1] Acad Econ Studies, Econ Informat Dept, Romana Sq 6, Bucharest, Romania
来源：
PROCEEDINGS OF THE 6TH WSEAS INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND INFORMATICS (TELE-INFO '07)/ 6TH WSEAS INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (SIP '07) | 2007年
关键词：
optimization; software; genetic algorithms; compiler;
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：
Concepts of informatics application and software optimization are defined. Presented are criteria and graphical methods for optimization. As far as multi-criteria optimization for very complex software applications is concerned, genetic algorithms are proposed. Their effects are compared with classic algorithm effects for the same lot of applications.
引用
收藏
页码：36 / +
页数：2
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