Research on Fresh Product Logistics Transportation Scheduling Based on Deep Reinforcement Learning

Table 3

Comparison of result sets of CVRPSD calculation examples.

Examples	BKS	SA		DNQ-PN
		BS	CT	BS	AS	CT
E-n22-k4	375	411.57	104.1	406	409	84.6
P-n23-k8	529	619.53	21.1	580	642	17.2
A-n32-k5	784	853.6	199.8	822	868	138.4
A-n33-k4	661	704.2	178.2	695	730	196.5
E-n33-k4	835	850.27	371.7	813	855	239.2
A-n34-k5	778	826.87	236.4	788	823	240.7
A-n36-k5	799	858.71	276.1	815	823	235.2
A-n39-k5	822	869.18	257.6	754	809	243.6
P-n40-k5	458	472.5	367.2	430	495	338.1
A-n44-k6	937	1025.48	281.4	1019	1136	253.0
A-n45-k7	1146	1264.99	216.0	1213	1285	248.9
P-n50-k10	696	760.94	150.6	732	764	157.6
E-n51-k5	521	552.26	586.0	594	621	445.8
A-n55-k9	1073	1179.11	265.5	1149	1269	248.5
A-n60-k9	1354	1529.82	393.7	1477	1504	354.8