Alternative Restart Strategies for CMA-ES
  This paper focuses on the restart strategy of CMA-ES on multi-modal functions. A first alternative strategy proceeds by decreasing the initial step-size of the mutation while doubling the population size at each restart. A second strategy adaptively allocates the computational budget among the restart settings in the BIPOP scheme. Both restart strategies are validated on the BBOB benchmark; their generality is also demonstrated on an independent real-world problem suite related to spacecraft trajectory optimization. 
Ilya Loshchilov (INRIA Saclay - Ile de France), Marc Schoenauer (INRIA   Saclay - Ile de France, MSR - INRIA), Mich\`ele Seb...
cs.AI