ACADF: Ant Colony Unified with Adaptive Dragonfly Algorithm Enabled with Fitness Function for Model Transformation

摘要

Model transformation is a key factor in the software project management. Model and its transformation is a key factor of software project process. This can be adapted by using some new transformation language. This paper aims to convert a class diagram (CLD) to Relational Schema (RS). Which include different perspective like, blocks, fitness function, and algorithm. Model transformation contribute major role in Model Driven Engineering (MDE). So transformation is perspective for the agile software development methodology. Transformation is part of agile methodology, which makes a better result for whole transformation process. For the same different algorithm are requiring for calculating the concern value for fitness function. This research work refer a optimization algorithm for phase 1 and phase 2 module and try to get a better output as compare to other algorithm like DA, PSO, ADF. This work will consider the Ant Colony optimization (ACO) algorithm integrated with dragonfly algorithm (ACADF) for the model transformation. These model transformations also consider the fitness function accordingly. Further it evaluate and analyzed using Automatic correctness (AC) and related fitness function, which pave the blocks for better result.