Reproducibility Package: A Systematic Review of Many-Objective EA–DRL Hybrids for Endogenous Harvest Coordination in Aquaculture Supply Chains

This package contains the complete supplementary materials and reproducibility archive for the systematic literature review "Endogenous Harvest Coordination in Aquaculture Supply Chains: A Systematic Review of Many-Objective EA–DRL Hybrids." The review asks a single structural question: across the literature on perishable supply chain optimization, has any architecture combined endogenous harvest timing, multi-pond multi-owner coordination, many-objective formulation, and bidirectional evolutionary-algorithm / deep-reinforcement-learning knowledge transfer? Screening 3,532 unique records down to 61 quality-assessed studies and 14 full-text anchors, it finds that no architecture occupies that intersection — maximum coverage is two of four dimensions — and names the empty cell as a precise research frontier for milkfish (Chanos chanos) aquaculture and for perishable supply chains more broadly. Everything needed to audit and reproduce the review is included: - PRISMA 2020 checklist and the pre-registered review protocol (v1.2)- The complete search execution log (22 cluster-database export rows) and the raw BibTeX exports (4,593 records)- The full, executable screening rubric (v3.2 PRA-PANEN) and a deterministic Python screening pipeline- The 61-paper extraction database, the Kitchenham-Charters quality-assessment scores, and the full-text reassessment of the 14 anchor papers- The inter-rater reliability worksheet (257 paired records; binary Cohen's kappa = 0.8977) and the intra-rater retest data (50 records; 92.0% binary agreement)- A reproducibility notebook that regenerates the reported per-stage counts (4,593 → 3,532 → 2,728 → 188 → 61) and the paper's reliability tables The pipeline is fully deterministic (all random operations seeded), so an independent researcher can reproduce every reported figure from the raw inputs. Start with 00_README.md for a guided map of the package.