Parallelization in ecr
In ecr it is possible to parallelize the fitness function evaluation to make use, e.g., of multiple CP cores or nodes in a HPC cluster. For maximal flexibility this is realized by means of the parallelMap package (see the c("official\n", "GitHub page") for instructions on how to set up parallelization). The different levels of parallelization can be specified in the parallelStart* function. At them moment only the level ecr.evaluateFitness is supported.
Keep in mind that parallelization comes along with some overhead. Thus activating parallelization, e.g., for evaluation a fitness function which is evaluated lightning-fast, may result in higher computation time. However, if the function evaluations are computationally more expensive, parallelization leads to significant running time benefits.