IJCATR Volume 5 Issue 9

New Enhanced Method for Managing Database Project via Genetic Algorithm And Fuzzy Logic

Maryam KaivanluShahrestanaki Dr.Hooman Kashanian
10.7753/IJCATR0509.1005
keywords : Software design, Revolutionary algorithms, Software development, Genetic algorithm

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Practicable establishment between Project and its progress procedure is vital to yield the finest outcome but uncertainty is great challenge in such kind of formation. Set of related doings that has varying uncertainty characteristic named as Project. To manage such varying uncertain situation, it is vital to mold progress procedure flexibly as per terms and circumstances. This article has made deep endeavor for revision the phases to be commenced to design and discovers flexible methodology. This method is not combination or hybrid association of accessible methodology. It is providing independence to progress expert for select the progress method as per development needs of projects contributory module for project expansion. Main idea of this paper is to rectify the present difficulties and troubles in improvement process by representing ‘Flexible approach’ for development on the origin of ‘Selection of software expansion procedure suggested system (SOSDMAS)-fuzzy expert system’ for making competent development with possible and need base formation.
@artical{m592016ijcatr05091005,
Title = "New Enhanced Method for Managing Database Project via Genetic Algorithm And Fuzzy Logic",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="9",
Pages ="584 - 589",
Year = "2016",
Authors ="Maryam KaivanluShahrestanaki Dr.Hooman Kashanian"}
  • The paper proposes a flexible layered control policy in a sensor grid.
  • Different controllers are deployed at three levels of the sensor grid.
  • The control model uses utility functions to evaluate the performance of the sensor grid.
  • In the simulation, a performance evaluation of the algorithm is carried out.