Today I read a paper titled “Partnering Strategies for Fitness Evaluation in a Pyramidal Evolutionary Algorithm”
The abstract is:
This paper combines the idea of a hierarchical distributed genetic algorithm with different inter-agent partnering strategies.
Cascading clusters of sub-populations are built from bottom up, with higher-level sub-populations optimising larger parts of the problem.
Hence higher-level sub-populations search a larger search space with a lower resolution whilst lower-level sub-populations search a smaller search space with a higher resolution.
The effects of different partner selection schemes for (sub-)fitness evaluation purposes are examined for two multiple-choice optimisation problems.
It is shown that random partnering strategies perform best by providing better sampling and more diversity.