Selection and Optimization of Software Development Life Cycles Using a Genetic Algorithm

a new algorithm and software of individual life insurance and annuity computation

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SELECTION OF SUITABLE RECORDS FOR NONLINEAR ANALYSIS USING GENETIC ALGORITHM (GA) AND PARTICLE SWARM OPTIMIZATION (PSO)

This paper presents a suitable and quick way to choose earthquake records in non-linear dynamic analysis using optimization methods. In addition, these earthquake records are scaled. Therefore, structural responses of three different soil-frame models were examined, the change in maximum displacement of roof was analyzed and the damage index of whole structures was measured. The soil classifica...

LAGA: A Software for Landscape Allocation using Genetic Algorithm

In this paper, Landscape Allocation using Genetic Algorithm (LAGA), a spatial multi-objective land use optimization software is introduced. The software helps in searching for optimal land use when multiple objectives such as suitability, area, cohesion and edge density indices are simultaneously involved. LAGA is a flexible and easy to use genetic algorithm-based software for optimizing the sp...

Optimization of Software Testing Using Genetic Algorithm

The software should be reliable and free from errors. Software testing is an important part of the software development life cycle. Software testing is the critical element of the software quality assurance and gives the ultimate review of the specification, analysis, design and development. As the human is prone to errors, the software development life cycle should be accompanied by the qualit...

Comparing Software Development Life Cycles