Enhancing distributed EAs using proactivity

This work proposes an heterogeneous distributed evolutionary algorithm that automatically adapts its migration policy based on the entropy of the population. It is an heterogeneous algorithm since the search performed by each subpopulation is different ...

In this work we propose a new distributed evolutionary algorithm that uses a proactive strategy to adapt its migration policy and the mutation rate. The proactive decision is carried out locally in each subpopulation based on the entropy of that ...

This article proposes a distributed differential evolution which employs a novel self-adaptive scheme, namely scale factor inheritance. In the proposed algorithm, the population is distributed over several sub-populations allocated according to a ring ...