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Table 4 Performance for competing algorithms in the dynamic deployment of WSN

From: A bi-population QUasi-Affine TRansformation Evolution algorithm for global optimization and its application to dynamic deployment in wireless sensor networks

  PSO-IW DE QUATRE/best/1 QUATRE/target-to-best/1 BP-QUATRE
Best 0.8873 0.9183 0.9367 0.9305 0.9389
Mean 0.8629 0.9143 0.9212 0.9187 0.9362
Worse 0.8443 0.9084 0.9149 0.9123 0.9331
Std 0.0117 0.0030 0.0067 0.0053 0.0021