Name
Abstract | ||
|---|---|---|
In many companies or organisations, owners want to deploy the most efficient security solutions at a low cost. The authors propose a way of choosing the optimised security method from many security methods by multi-objective genetic algorithm (GA) considering cost and weakness decrease in this study. The proposed system can find the best security methods in various aspects of security issues. This study uses the NSGA-II algorithm, which has been authorised in a variety of fields, to provide a comparison with old GAs. Their scheme has increased the dominant area by more than 30% compared with the previous scheme and can provide a more diverse solution set. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1049/trit.2017.0002 | CAAI Transactions on Intelligence Technology |
Keywords | DocType | Volume |
genetic algorithms,Pareto optimisation,evolutionary computation | Journal | 2 |
Issue | ISSN | Citations |
2 | 2468-6557 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunghee Lee | 1 | 0 | 0.34 |
| Tae Jong Choi | 2 | 5 | 2.47 |
| Chang Wook Ahn | 3 | 759 | 60.88 |