Research Article

Chaotic Wind-Driven Optimization with Hyperbolic Tangent Model and T-Distributed Mutation Strategy

Table 8

Comparison of standard deviations of WDO with single improvement strategy.

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CHTWDO1.31E − 3001.01E + 022.23E − 6003.11E − 101.32E − 102.81E − 902.89E − 58
CWDO5.03E − 1752.38E + 025.48E − 3407.65E − 068.47E − 077.15E − 493.27E − 46
HTWDO7.84E − 2581.03E + 021.27E − 5008.92E − 091.96E − 091.64E − 861.92E − 56
TWDO2.37E − 1691.75E + 026.61E − 4001.45E − 085.23E − 083.58E − 805.79E − 48

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CHTWDO1.00E − 100006.14E − 161.02E + 011.05E + 012.04E − 04
CWDO4.32E − 080005.39E − 076.19E + 014.79E + 013.58E − 04
HTWDO1.62E − 100004.53E − 141.40E + 017.86E + 004.03E − 04
TWDO6.27E − 090008.62E − 121.41E + 019.93E + 005.26E − 04

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CHTWDO2.08E − 0101.08E − 012.90E + 001.09E + 001.01E + 002.05E − 027.13E − 01
CWDO4.17E − 011.08E − 041.90E − 018.31E + 005.62E + 016.32E + 011.69E − 013.58E − 00
HTWDO3.62E − 017.38E − 061.26E − 016.04E + 004.13E + 002.17E + 013.46E − 019.94E − 01
TWDO6.27E − 016.92E − 051.58E − 011.72E + 018.92E + 003.41E + 014.84E − 011.82E − 00

The significance of bold values represent the optimal values of each test function.