Analysis and Implementation of Optimization Techniques for Facial Recognition

Table 8

YaleB experiment results for PSO, GA, and ABC using EUD, KNN, and SVM classifiers.

YaleB–PSO			YaleB–GA			YaleB–ABC
EUD	KNN	SVM	EUD	KNN	SVM	EUD	KNN	SVM
100	100	100	60.526	60.526	99.123	36.842	100	100
100	100	100	99.123	99.123	100	35.088	100	100
71.93	100	100	51.754	51.754	100	28.07	100	100
100	100	100	100	100	98.246	71.93	100	99.123
95.614	100	100	41.228	41.228	98.246	86.842	100	100
99.123	100	100	40.351	40.351	100	100	100	100
90.351	100	100	94.737	94.737	98.246	71.053	100	99.123
99.123	100	100	99.123	99.123	99.123	47.368	100	100
100	100	100	35.088	35.088	99.123	53.509	100	100
100	100	100	99.123	99.123	100	54.386	100	100
85.965	100	100	100	100	100	100	100	100
67.544	100	98.246	100	100	100	57.895	100	100
82.456	100	100	46.491	46.491	100	91.228	100	100
87.719	100	100	97.368	97.368	99.123	30.702	100	98.246
88.596	100	100	41.228	41.228	100	92.982	100	98.246
83.333	100	98.246	28.07	28.07	96.491	100	100	100
93.86	100	100	100	100	98.246	50	100	100
100	100	100	50	50	97.368	72.807	100	100
70.175	100	99.123	100	100	100	27.193	100	100