Research Article

A Memetic Differential Evolution Algorithm Based on Dynamic Preference for Constrained Optimization Problems

Table 2

Statistical results obtained by MDEDP over 30 independent runs and the comparison with Var2 [24] and SAMSDE-2 [24] for the remaining 9 test instances. “NF” means no feasible solution is found.

fcn/opt.StatusMDEDPVar2 [24]SAMSDE-2 [24]

g14/−47.76489Best−47.76489−47.76206−46.66291
Median−47.76489−47.52454−46.63655
Mean−47.76487−47.46548−46.43386
Worst−47.76478−46.53409−46.00211
Std.

g15/961.715022Best961.715022961.715022961.715022
Median961.715022961.715022961.715022
Mean961.715022961.716603961.715022
Worst961.715022961.757371961.715022
Std.

g16/−1.9051553Best−1.9051553−1.9051553−1.9051553
Median−1.9051553−1.9051553−1.9051553
Mean−1.9051553−1.9051553−1.9051553
Worst−1.9051553−1.9051553−1.9051553
Std. 0

g17/8853.5339Best8853.53398853.53988853.5397
Median8853.53398949.03838927.5977
Mean8858.47118937.01798914.0841
Worst8927.59178956.74438941.2845
Std.

g18/−0.8660254Best−0.8660254−0.866025−0.866025
Median−0.8660254−0.866024−0.866024
Mean−0.8405529−0.866020−0.866018
Worst−0.6749814−0.865983−0.865959
Std.

g19/32.65559Best32.6555932.6944032.67473
Median32.6555932.8597232.88680
Mean32.6555932.9303532.92857
Worst32.6556733.4629633.37313
Std.

g21/193.72451Best193.72451NF308.90899
Median193.72451NF324.71234
Mean220.35875NF324.10440
Worst330.18271NF329.54888
Std. NF

g23/−400.05510Best−400.05510−382.522771−374.201398
Median−400.05510−191.134573−262.684823
Mean−400.05509−199.903075−265.241202
Worst−400.05505−6.556980−176.606485
Std.

g24/−5.5080133Best−5.5080133−5.5080133−5.5080133
Median−5.5080133−5.5080133−5.5080133
Mean−5.5080133−5.5080133−5.5080133
Worst−5.5080133−5.5080133−5.5080133
Std. 00