The paper describes an algorithm for the generation of a general class of precedence- and resource-constrained scheduling problems. Easy and hard instances for the single- and multi-mode resource-constrained project scheduling problem are benchmarked by using the state of the art...

In this paper the genetic algorithm is described, applications in the field of statistics are indicated and it is applied to the estimation of the parameters of a Johnson-type distribution. The convergence behaviour is analyzed with respect to the mutation probability, the kind of mutations and...