The study proposes an innovative optimization framework for rural waste recycling networks, but some aspects remain unclear to me:
Could the authors provide more details about the tuning of parameters in the applied algorithms (e.g., PSO and ACO)? Specifically, how were factors like inertia weights, learning rates, and pheromone decay values determined? This would clarify the model’s robustness.
Additionally, while the mathematical approach is sound, the socio-political challenges of siting waste facilities—such as community resistance or legal constraints—are not addressed. How might these factors impact the feasibility of the proposed network?
Lastly, the model assumes fixed waste generation rates and ignores potential traffic congestion. How could dynamic or stochastic modeling account for real-world variations, and would such adjustments significantly affect the outcomes?