Ant Colony Optimisation Algorithm
for solving Vehicle Routing Problem

Structure of the repo

• report with analysis of the ACO algorithm
• implementation of the ACO algorithm
• input and output data
• tools for data loading, testing, comparing and other

Fitness function of ACO

Obtained result

Solutions

benchmark	epochs	n_ants	alpha	beta	rho	init_pher	mean_time	found_cost	opt_cost	error
A-n32-k5	100	100	1.5	0.3	0.95	1000	31.0902	840.7085	784.0	0.0723
A-n33-k5	100	50	1.5	0.3	0.95	1000	17.45445	759.7473	661.0	0.1493
A-n33-k6	100	100	1.5	0.3	0.95	1000	39.4328	824.0234	742.0	0.1105
A-n34-k5	100	100	1.5	0.1	0.95	1000	36.65715	865.7229	778.0	0.1127
A-n36-k5	100	100	1.5	0.1	0.95	1000	37.42615	941.048	799.0	0.1777
A-n37-k5	100	100	1.5	0.3	0.95	1000	34.72325	827.0217	669.0	0.2362
A-n37-k6	100	100	1.5	0.3	0.95	1000	45.1742	1098.5397	949.0	0.1575
A-n38-k5	100	100	1.5	0.3	0.95	1000	41.6064	831.4388	730.0	0.1389
A-n39-k5	100	100	1.5	0.3	0.95	1000	42.3003	922.5199	822.0	0.1222
A-n39-k6	100	100	1.5	0.3	0.95	1000	47.4383	938.2681	831.0	0.1290
A-n44-k6	100	100	1.5	0.3	0.95	1000	54.8001	1071.6804	937.0	0.1437
A-n45-k6	100	100	1.5	0.1	0.95	1000	57.4604	1123.2443	944.0	0.1898
A-n45-k7	100	100	1.5	0.3	0.95	1000	58.953	1321.2444	1146.0	0.1529
A-n46-k7	100	100	1.5	0.1	0.95	1000	58.96205	1121.8012	914.0	0.2273
A-n48-k7	100	100	1.5	0.3	0.95	1000	64.0681	1292.9723	1073.0	0.2050
A-n53-k7	100	100	1.5	0.3	0.95	1000	72.03915	1230.8324	1010.0	0.2186
A-n54-k7	100	100	1.5	0.1	0.95	1000	72.0944	1366.4645	1167.0	0.1709
A-n55-k9	100	100	1.5	0.3	0.95	1000	90.30875	1286.7343	1073.0	0.1991
A-n60-k9	100	100	1.5	0.3	0.95	1000	95.5338	1654.2528	1354.0	0.2217
A-n61-k9	100	100	1.5	0.3	0.95	1000	106.98715	1261.4101	1034.0	0.2199
A-n62-k8	100	100	1.5	0.3	0.95	1000	90.25915	1602.115	1288.0	0.2438
A-n63-k10	100	100	1.5	0.3	0.95	1000	114.5476	1640.7818	1314.0	0.2486
A-n63-k9	100	50	1.5	0.3	0.95	1000	55.53265	1884.8819	1616.0	0.1663
A-n64-k9	100	100	1.5	0.3	0.95	1000	110.1165	1677.3008	1401.0	0.1972
A-n65-k9	100	100	1.5	0.3	0.95	1000	112.73695	1424.3889	1174.0	0.2132
A-n69-k9	100	50	1.5	0.3	0.95	1000	59.1424	1416.3391	1159.0	0.2220
A-n80-k10	100	100	1.5	0.3	0.95	1000	148.4076	2227.146	1763.0	0.2632
B-n31-k5	100	50	1.5	0.1	0.95	10	16.34135	714.3029	672.0	0.0629
B-n34-k5	100	100	1.5	0.3	0.95	1000	34.2074	830.59	788.0	0.0540
B-n35-k5	100	100	1.5	0.1	0.95	10	36.32685	1011.7098	955.0	0.0593
B-n38-k6	100	100	1.5	0.1	0.95	1000	44.6124	895.1143	805.0	0.1119
B-n39-k5	100	50	1.5	0.3	0.95	10	20.8248	634.6591	549.0	0.1560
B-n41-k6	100	100	1.5	0.3	0.95	1000	49.2865	892.5873	829.0	0.0767
B-n43-k6	100	100	1.5	0.1	0.95	1000	47.91175	820.7286	742.0	0.1061
B-n44-k7	100	50	1.5	0.1	0.95	1000	28.34285	1006.9213	909.0	0.1077
B-n45-k5	100	100	1.5	0.3	0.95	1000	48.9257	839.7059	751.0	0.1181
B-n45-k6	100	100	1.5	0.3	0.95	1000	57.04055	724.3774	678.0	0.0684
B-n50-k7	100	100	1.5	0.3	0.95	1000	62.14785	868.6793	741.0	0.1723
B-n50-k8	100	50	1.5	0.1	0.95	1000	35.81775	1409.6985	1312.0	0.0744
B-n51-k7	100	100	1.5	0.3	0.95	1000	71.9902	1059.7313	1032.0	0.0268
B-n52-k7	100	100	1.5	0.3	0.95	1000	70.2877	832.6004	747.0	0.1145
B-n56-k7	100	100	1.5	0.3	0.95	10	77.8671	873.309	707.0	0.2352
B-n57-k7	100	100	1.5	0.3	0.95	1000	80.5894	1235.8289	1153.0	0.0718
B-n57-k9	100	100	1.5	0.3	0.95	1000	91.4484	1771.8331	1598.0	0.1087
B-n63-k10	100	100	1.5	0.3	0.95	1000	116.1213	1747.8	1496.0	0.1683
B-n64-k9	100	100	1.5	0.1	0.95	1000	111.46845	990.3758	861.0	0.1502
B-n66-k9	100	100	1.5	0.3	0.95	1000	116.3869	1477.4993	1316.0	0.1227
B-n67-k10	100	100	1.5	0.3	0.95	10	126.58145	1250.5999	1032.0	0.2118
B-n68-k9	100	100	1.5	0.3	0.95	10	118.7391	1479.7776	1272.0	0.1633
B-n78-k10	100	100	1.5	0.3	0.95	1000	142.44425	1511.2385	1221.0	0.2377