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Table 5 Classification accuracy of discovered models by evolutionary approaches on different datasets

From: Application of evolutionary and swarm optimization in computer vision: a literature survey

Dataset

Approach

Accuracy

OPT. time

#GPUs

CIFAR-10

LEIC [1]

94.60

10 days

250

 

CoDeepNEAT [3]

92.70

–

–

 

CGP-CNN [4]

94.34

10.4 days

2

 

Genetic CNN [5]

92.90

2 days

10

 

HREAS [6]

96.40

1.5 days

200

 

DENSER [7, 8]

93.29

–

–

 

PSOAO [10]

83.5

3.4 days

1

CIFAR-100

LEIC [1]

77.00

–

–

 

Genetic CNN [5]

70.97

–

–

 

DENSER [7, 8]

77.51

–

–

MNIST

EvoCNN [2]

98.82

2-3 days

2

 

DENSER [7, 8]

99.70

–

–

 

PSOAO [10]

99.51

5 days

1

 

IPPSO [11]

98.87

–

–

BZI000065_conv-xml0x.pngFashion MNIST\c:IMG

EvoCNN [2]

94.53

4 days

2

 

DENSER [7, 8]

95.11

–

–

ImageNet

Genetic CNN [5]

72.13

–

–

 

HREAS [6]

79.70

–

–