A Method for Prioritizing Qualitative Scenarios In Evaluating Enterprise Architecture Using Non-Dominated Sorting Genetic Algorithm II

摘要

In the field of enterprise architecture (EA), qualitative scenarios are used to understand the qualitativecharacteristics better. In order to reduce the implementation cost, scenarios are prioritized to be able tofocus on the higher priority and more important scenarios. There are different methods to evaluateenterprise architecture including architecture Trade-off Analysis Method (ATAM).Prioritizing qualitativescenarios is one of the main phases of this method. Since none of the recent studies meet the prioritizingqualitative scenarios requirements, considering proper prioritizing criteria and reaching an appropriatespeed priority, non-dominated sorting genetic algorithms is used in this study (NSGA-II). In addition toprevious research standards more criteria were considered in the proposed algorithm, these sets ofstructures together as gene and in the form of cell array constitute chromosome. The proposed algorithm isevaluated in two case studies in the field of enterprise architecture and architecture software. The resultsshowed the accuracy and the more appropriate speed comparing to the previous works including geneticalgorithms.