Advances in Artificial Intelligence / 2014 / Article / Tab 5

Research Article

A New Evolutionary-Incremental Framework for Feature Selection

Table 5

Comparison of the proposed methods and the previous methods for face recognition.

MethodNumber of featuresAccuracy of face recognition

Basic EBGM [14]120098%
Combination of EBGM and GA [15]67291%
Combination of EBGM and PSO [10]4081%
Combination of EBGM and ICA [10]4086%
Combination of EBGM and IWO [10]4087%
Combination of EBGM and variable length GA9089%
Combination of EBGM and
evolutionary-incremental GA
3792%
Combination of EBGM and
evolutionary-incremental IWO
2593%

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