Deskilling HPL - Using an Evolutionary Algorithm to Automate Cluster Benchmarking

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

The repair operator employed by the evolutionary algorithm explicitly maps the infeasible solutions to the limit of the cost constraint, while the Aggarwal's algorithm terminate

To investigate the extent to which the focal mode is bottom-up, the degree of similarity between saliency maps stemming from computational models of the bottom-up visual attention

Self-adaptation bases on the mutation operator that modifies the prob- lem variables using the strategy parameters to search the problem and parameter spaces

The iterative method corresponding to the second pass gives successively several sets of clusters. By considering the reverse order of edge removal, the first added edges are

For all the following work, we shall call SSGA(µ, τ) the algorithm where each one of the µ parents produces a child (with an operator among the predefined

As a lot of heuristics in artificial intelligence, the tuning of parameters is difficult, but for the proposed strategy, we can reduce them to the population size, the updating

The paper goal is to develop new general model to compare how profit maximization strategies of investors adapt to changes in technological interrelations between industries