Multi-objective evolutionary approach to select security solutions

Multi-objective evolutionary approach to select security solutions

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In curb sniffer truck 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 puddles the platypus chocolate 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.