Scientific Programming / 2020 / Article / Tab 2

Research Article

Bayesian-Based Search Decision Framework and Search Strategy Analysis in Probabilistic Search

Table 2

Comparison of search strategies under different false negative detection error.

(α, β)(0.20, 0.10)(0.20, 0.20)(0.20, 0.30)(0.20, 0.40)(0.20, 0.50)

E[TTDs]improved saccadic42.6060.5294.20140.02200.42
E[TTDc]improved saccadic400.23500.02782.631000.051800.52
Pimproved saccadic98.88%98.82%98.50%97.88%97.66%
E[TTDs]myopic43.8065.5198.89146.39238.01
E[TTDc]myopic48.2854.0365.8886.89138.48
Pmyopic98.10%98.02%97.48%97.10%96.19%
E[TTDs]saccadic48.7465.5896.17142.39228.56
E[TTDc]saccadic413.33527.20808.841238.032019.07
Psaccadic98.48%98.34%97.74%97.66%97.40%
E[TTDs]sweeping471.53581.68645.59684.54698.40
E[TTDc]sweeping21.4823.8825.6526.1926.60
Psweeping94.50%87.75%75.34%58.42%40.53%
E[TTDs]random jump403.60453.33478.12494.39499.42
E[TTDc]random jump150.25167.98176.05179.83192.50
Prandom jump84.47%72.26%59.69%44.50%31.02%
E[TTDs]snapshot53.0371.90105.50157.42263.17
E[TTDc]snapshot357.34469.20686.901048.951979.19
Psnapshot98.09%98.21%98.13%97.83%97.59%