2007Unpublished venueRequires access

Using genetic algorithms in software optimization

Ion Ivan, Cătălin Boja, Marius Vochin, Iulian Nitescu, Cristian Toma, Marius Poda

Open publisher page 3 citations

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.

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What this paper is about

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.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Computer science, Software, Meta-optimization, Genetic algorithm, Optimization algorithm, Search-based software engineering, Quality control and genetic algorithms, Algorithm

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