Automated Parameter Control for Evolutionary Algorithms

This paper focuses on several aspects to be considered when designing generic control strategies for Evolutionary Algorithms. We propose a method to encapsulate multiple parameters, reducing control to only one variable. This method allows to define generic control strategies regardless of the algorithm’s operators and of the problem to be solved. Three implementation-independent strategies are proposed and compared on a classical optimisation problem, considering their generality and performance.