Green cross-dock based supply chain network design under demand uncertainty using new metaheuristic algorithms

<p style='text-indent:20px;'>This study concerns the optimization of green supply chain network design under demand uncertainty. The issue uncertainty has been addressed using a scenario-based analysis approach. main contribution this research is to investigate cross-dock based formulation and metaheuristic algorithms. problem formulated as two-objective mathematical model with objectives minimizing costs environmental impact chain. Two algorithms, namely non-dominated sorting genetic algorithm II (NSGA-II) multi-objective invasive weed (MOIWO), have developed optimize model. This paper focuses on use new algorithms such MOIWO in design, which received less attention previous studies. performance two solution methods evaluated terms three indices, measure quality, spacing, diversification solutions. Evaluations indicate that produces more Pareto solutions higher quality than NSGA-II. A test carried out 31 instances different sizes shows perform similarly spread front, but provides NSGA-II.</p>