An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques

Algorithm 1

Agent-based population learning algorithm.

Generate the initial population of solutions (individuals) and store them in the common memory

Implement different improvement procedures executed by the optimization agents

Activate optimization agents

While (stopping criterion is not met) do {in parallel}

 Read randomly selected individual from the common memory

 Execute improvement algorithm

 Store the improved individual back in the common memory

End while

Take the best solution from the population as the final result.