This paper goals to guage the influence of buyer allocation on the ability location within the multi-objective location downside for sustainable logistics. After a brand new sensible multi-objective location mannequin contemplating automobile carbon emissions is launched, the NSGA-II and SEAMO2 algorithms are employed to unravel the mannequin. Throughout the framework of every algorithm, three completely different allocation guidelines derived from the optimization of buyer allocation based mostly on distance, price, and emissions are individually utilized to carry out the customer-to-facility task in order to guage their impacts. The outcomes of intensive computational experiments present that the allocation guidelines have practically no affect on the answer high quality, and the allocation rule based mostly on the space has an absolute benefit of computation time. These findings will drastically assist to simplify the location-allocation evaluation within the multi-objective location issues.