New Hybrid Algorithms for Task Scheduling in Computational Grids to Decrease Makespan

187 interessa; o Milhões de festa ligado a um público indie, Alive é um festival ultra abrangente mas tem sempre pessoas que se interessam, e que tem um cartaz muito forte

This paper aims at presenting a multiobjective approach for the integrated vehicle and crew scheduling problem based on Genetic Algorithms.. A case study in

This paper develops a hybrid fuzzy logic based genetic algorithm model to solve the multi-objective passenger railway scheduling problem aiming to optimize

%RBS (R =0,60), verifica-se que os menores teores de nitrogênio amoniacal corresponderam aos animais alimentados com as silagens com maiores proporções de resíduo de milho; o que

• To locate modifications and changes in the construction materials (original building materials were adobe, masonry), rebar structure whilst later modi fications included bricks

Due to this flexibility, interference of a DAG task on itself (referred as “self-interference” hereinafter) becomes a problem that should be considered by the scheduling algorithms

The results using the Swarm-RCPSP are compared with those using a distributed greedy approach and with the best-known solutions of the RCPSP instances used in this study [Brucker

To find the running time, notice that if η is the number of generations, μ the population size, n the quantity of genes of any chromosome (problem input) and as it is