Comparison of multistart global optimization algorithms on the BBOB noiseless testbed
László Pál · 2013
Multi Level Single Linkage is a multistart, stochastic global optimization method which relies on random sampling and local search. In this paper, we benchmarked three variants of the MLSL algorithm by using two gradient based and a derivative-free local search method on the noiseless function testbed. The three methods were also compared with a commercial multistart solver, called OQNLP (OptQuest/NLP).