A Bat Algorithm with Mutation for UCAV Path Planning

Table 2

Best normalized optimization results on UCAV path planning problem on different Maxgen. The numbers shown are the best results found after 100 Monte Carlo simulations of each algorithm.

Parameter			Algorithm
Popsize	Maxgen	D	ACO	BA	BAM	BBO	DE	ES	GA	PBIL	PSO	SGA
30	50	20	10.7202	4.0662	0.6208	7.0272	2.4179	9.6276	1.2604	100.0527	2.7827	1.7370
30	100	20	10.8912	4.7582	0.4900	4.7484	0.8503	10.6318	1.5073	98.3640	2.3469	1.3218
30	150	20	9.9096	4.1112	0.4724	4.2311	0.5319	11.1469	1.0991	71.2093	2.3738	1.1559
30	200	20	12.3080	3.1463	0.4590	2.7765	0.5047	11.2403	1.0792	72.8244	3.4276	0.7595
30	250	20	7.1358	4.4072	0.4636	2.6109	0.4792	12.3745	1.0640	74.9071	2.5221	1.0166