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Genetic Algorithms (GAs) have been considered in recent years as powerful tools to solve optimization problems ([7]; [8]). The underlying foundations for such algorithms are the controlled evolution of a structured population. Holland [5] outlined GAs and their mechanisms (schemata formation and propagation over generations).
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Stored only when both papers are in the corpus — 25 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.