Supplementary Materials: Multi-Objective Evolutionary Optimization for Informal Waste Economy Governance (code, data, and figures)

Supplementary archive accompanying the manuscript on multi-objective evolutionary algorithms (NSGA-II / SPEA2 / random search) for informal waste-economy policy design (decision variables α, E; objectives f₁–f₃). Contents of Supplementary_Materials_MOEA_Informal_Waste.zip: code/ — Python sources (problem, experiments 1–6, visualize, recheck) logs/ — aggregate console logs + RUN_MANIFEST (503 optimization runs) data/ — Pareto CSVs, full-caliber metrics, scenario HV, knee points figures/ — fig1–fig7 PNG (600 dpi) and PDF GitHub repository: https://github.com/tinyboy1993/Informal_waste_economy GitHub Release: v1.0.0-supplementary