• ModuleArtificial Intelligence Methods
  • RoleGroup Leader
  • Date01/2020 - 05/2020
  • CategoryMachine Learning
  • MarksFirst-class

Summary of project

Performed publish-worthy qualitative and statistical analysis of 3 stochastic optimization algorithms (BIPOP CMAES, PSO and DE) on all 24 of the Single-objective Continuous Optimization benchmark problems from the BBOB-2009 competition. Our selected algorithm achieved top 5% in the internal class competition.

You can check out our report on it below: