Using genetic algorithms in software optimization

Authors:
Ion Ivan;Catalin Boja;Marius Vochin;Iulian Nitescu;Cristian Toma;Marius Poda
Affiliations:
Economic Informatics Department, Academy of Economic Studies, Bucharest, Romania;Economic Informatics Department, Academy of Economic Studies, Bucharest, Romania;Economic Informatics Department, Academy of Economic Studies, Bucharest, Romania;Economic Informatics Department, Academy of Economic Studies, Bucharest, Romania;Economic Informatics Department, Academy of Economic Studies, Bucharest, Romania;Economic Informatics Department, Academy of Economic Studies, Bucharest, Romania
Venue:
TELE-INFO'07 Proceedings of the 6th WSEAS Int. Conference on Telecommunications and Informatics
Year:
2007

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Abstract

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.