Research Article
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. |
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