The global Application Development Life Cycle Management (ADLM) Softwaremarket report was curated by conducting an extensive evaluation and by applying various key methodologies.
With the help of these approaches and methodologies, a quantitative and qualitative insight of the global Application Development Life Cycle Management (ADLM) Softwaremarket is garnered.
The global Application Development Life Cycle Management (ADLM) Softwaremarket is studied and analyzed with the help of a complete backdrop analysis.
In this experiment, four prediction models will be tested; they are MM, VARM, PREM, and ADLM; all prediction models are listed as follows besides ADLM.
The population size for the four algorithms is 100; the offspring parameters in (10) of DMEA/PRI framework, that is, the crossover probability and mutation probability, are set to 0.8 and 0.08, respectively, and the variance of ADLM is set to 0.2.
(2) From the convergence point of view, in all figures, ADLM is better than PREM, PREM is better than MM, and MM is better than VARM.
(3) The performance of ADLM on FAD1E (FAD5E) is the best in all figures.
(4) The time complexity analysis of ADLM: ADLM uses the historical information in the last three periods to predict new individuals.
From the above analysis on the time complexity of four prediction models, it can be seen that the time complexity of ADLM and MM is the same and the time complexity of PREM and VARM is also the same.
In this paper, we define a Multiobjective problem with translational Paretooptimal set (DMOP-TPS), and then we propose a new prediction model named ADLM to address DMOP-TPS.
From the simulation results on several DMOP-TPS test problems, four conclusions could be drew: (1) the Ave(M(P)) value of all models gets smaller while [[tau].sub.T] increases from 10 to 30; (2) from the convergence point of view ADLM is better than PREM, PREM is better than MM, and MM is better than VARM; (3) the performance of ADLM on FDA1E (FDA5E) outperforms other models; (4) the series of problems FDA1 are more difficult to be optimized than the series of problems FDA5.