Multi-objective evolutionary optimization of computation-intensive simulations: The case of security control selection

Expensive fitness functions, such as simulations, pose a challenge in optimization scenarios. Despite the use of metaheuristic optimization algorithms, simulation-optimization problems hence do not necessarily converge within reasonable runtime. We outlined a number of approaches to tackle this issue and will continue our experiments with these and other techniques. Our goal is to reduce the number of required simulation replications and the runtime spent evaluating each candidate solution in the context of information security control selection.