Lazy parameter tuning and control
Denis Antipov, Maxim Buzdalov, Benjamin Doerr
Abstract
Most evolutionary algorithms have multiple parameters and their values drastically affect the performance. Due to the often complicated interplay of the parameters, setting these values right for a particular problem is a challenging task. This task becomes even more complicated when the optimal parameter values change significantly during the run of the algorithm since then a dynamic parameter choice is necessary.
Topics & Concepts
Task (project management)Computer scienceControl (management)Evolutionary algorithmAlgorithmControl theory (sociology)Mathematical optimizationArtificial intelligenceMathematicsEngineeringSystems engineeringMetaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and ApplicationsAdvanced Multi-Objective Optimization Algorithms