A Bat Algorithm with Mutation for UCAV Path Planning

Table 8

Mean normalized optimization results on UCAV path planning problem on different 𝐷. The numbers shown are the minimum objective function values found by each algorithm, averaged over 100 Monte Carlo simulations.

Parameter			Algorithm
Popsize	Maxgen	𝐷	ACO	BA	BAM	BBO	DE	ES	GA	PBIL	PSO	SGA
30	200	5	11.4856	56.4830	9.0542	23.4238	8.0557	31.8202	10.5709	15.5053	10.0765	10.8836
30	200	10	12.5333	19.4251	2.7075	8.7776	3.1206	27.2252	2.3722	51.2935	7.2212	2.2813
30	200	15	10.2484	13.6018	1.2318	8.9120	2.3737	22.0792	2.1136	78.4948	7.7362	1.8973
30	200	20	16.3303	13.6305	0.7609	12.2883	3.0044	20.4717	2.9612	127.5765	9.9091	2.8621
30	200	25	11.5842	14.9017	0.7093	15.3698	4.6029	22.7244	3.7244	214.0821	10.3315	3.7238
30	200	30	13.9422	16.6162	1.1067	18.6997	11.4103	25.4016	5.3097	335.0904	12.7964	4.3798
30	200	35	18.3452	17.7033	1.4617	20.7753	19.1074	27.2172	6.0765	661.1281	13.8799	5.4943
30	200	40	24.7642	19.9737	1.8769	25.9148	28.7062	30.0177	7.6989	1174.90	15.1555	7.4237