Solving the Multisensor Resource Scheduling Problem for Missile Early Warning by a Hybrid Discrete Artificial Bee Colony Algorithm

Table 7

Comparison table of evaluation results of different algorithms.

Scale	Algorithm	Best fitness value	Average fitness value			Average running time
Small scale	HDABC	13.8313	13.8313	100.00%	100.00%	6.05 s
	IGA	13.8313	13.2940	97.63%	98.67%	11.35 s
	PSO-VNS	13.8313	17.8102	98.88%	99.33%	5.37 s
	SAPPSO	13.8313	13.8313	100.00%	100.00%	4.34 s
Medium scale	HDABC	24.7185	24.5092	96.22%	92.67%	14.32 s
	IGA	24.6475	23.8964	93.13%	89.67%	37.92 s
	PSO-VNS	24.8657	24.3332	94.86%	90.33%	13.23 s
	SAPPSO	24.3818	24.0474	93.09%	89.33%	9.28 s
Large scale	HDABC	51.2601	51.0129	93.51%	91.37%	31.26 s
	IGA	49.7513	48.6283	76.79%	74.93%	63.35 s
	PSO-VNS	51.2091	49.7843	82.77%	79.67%	29.35 s
	SAPPSO	50.1064	49.5799	82.10%	77.82%	18.87 s