Some modifications are suggested to the controlled random search algor
ithm for global optimization. Numerical experiments indicate that the
resulting algorithms are considerably better than the originals and of
fer a reasonable alternative to many currently available stochastic al
gorithms, especially for problems requiring 'direct search' type metho
ds.