Multiobjective capacitated green vehicle routing problem with fuzzy time-distances and demands split into bags
研究了将货物分袋配送、旅行时间为三角模糊数的车辆路径问题，目标是减少燃油排放，并开发了离散模糊混合遗传算法求解。
Real-life challenges require proactive measures. Good transportation services and greener alternatives demand steadfast research in the area. Here, an attempt has been made to address such a problem. A particular case of VRP, with deliveries split into bags and triangular fuzzy travel times, has been modelled to minimise fuel emissions. The concepts of fuzzy rule-based implication for ranking and for comparing fuzzy numbers with numeric values, an expected value model, have been drawn upon. A discrete fuzzy-hybridised GA has been developed. Multiple experiments on data in existing works, parameter tuning, and comparative analysis have been performed, thereby corroborating the model's efficacy.