Research Article

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

Table 1

Statistical results obtained by MDEDP over 30 independent runs and the comparison with Var2 [24], SAMSDE-2 [24], SR [2], ATMES [9], and BBO-DM [25]. The result in boldface indicates that the proposed MDEDP obtained the global optimum. The bold-face values mean they are optimal solutions. NA means not available in related reference.

fcn/opt.StatusMDEDPVar2 [24]SAMSDE-2 [24]SR [2]ATMES [9]BBO-DM [25]DEDP

g01/−15.0000Best−15.000−15.0000−15.0000−15.000−15.000−15−14.9999
Median−15.000−15.0000−15.0000−15.000−15.000NA−14.9998
Mean−15.000−15.0000−15.0000−15.000−15.000−15−14.9999
Worst−15.000−15.0000−15.0000−15.000−15.000−15−14.9998
Std.000

g02/−0.803619Best−0.803616−0.803616−0.803619−0.803515−0.803388−0.803557−0.604182
Median−0.763716−0.785259−0.783053−0.785800−0.792420NA−0.554816
Mean−0.757713−0.779414−0.774917−0.781975−0.790148−0.802774−0.553601
Worst−0.616138−0.729905−0.729398−0.726288−0.756986−0.792576−0.511070
Std.

g03/−1.0005Best−1.0005−1.0005−1.0005−1.000−1.000−1.000−1.0005
Median−1.0005−1.0005−1.0005−1.000−1.000NA−1.0005
Mean−1.0005−1.0005−1.0005−1.000−1.000−1.000−1.0005
Worst−1.0005−1.0005−1.0005−1.000−1.000−1.000−1.0005
Std.

g04/−30665.53867Best−30665.53867−30665.53867−30665.53867−30665.539−30665.539−30665.539−30665.53867
Median−30665.53867−30665.53867−30665.53867−30665.539−30665.539NA−30665.53867
Mean−30665.53867−30662.69876−30665.53867−30665.539−30665.539−30665.539−30665.53867
Worst−30665.53867−30634.93399−30665.53867−30665.539−30665.539−30665.539−30665.53867
Std.

g05/5126.49671Best5126.496715126.496745126.496715126.4975126.4985126.4985126.49671
Median5126.496715126.986625126.496745127.3725126.776NA5126.49671
Mean5126.496715133.706825126.635435128.8815127.6485126.4985126.49671
Worst5126.496715217.947965128.806235142.4725135.2565126.4985126.49671
Std.

g06/−6961.814Best−6961.814−6961.83188−6961.83188−6961.814−6961.814−6961.814−6961.814
Median−6961.814−6961.80882−6961.83188−6961.814−6961.814NA−6961.814
Mean−6961.814−6937.41732−6961.83188−6875.940−6961.814−6961.814−6961.814
Worst−6961.814−6804.36991−6961.83188−6350.262−6961.814−6961.814−6961.814
Std.

g07/24.306Best24.30624.306924.306924.30724.30624.32624.330
Median24.30624.320524.328724.35724.313NA24.340
Mean24.30624.328924.333024.37424.31624.34524.342
Worst24.30624.408524.388124.64224.35924.37824.360
Std.

g08/−0.095825Best−0.095825−0.095825−0.095825−0.095825−0.095825−0.095825−0.095825
Median−0.095825−0.095825−0.095825−0.095825−0.095825NA−0.095825
Mean−0.095825−0.095825−0.095825−0.095825−0.095825−0.095825−0.095825
Worst−0.095825−0.095825−0.095825−0.095825−0.095825−0.095825−0.095825
Std.

g09/680.630Best680.630680.630680.630680.630680.630680.630680.630
Median680.630680.633680.631680.641680.633NA680.630
Mean680.630680.634680.631680.656680.639680.630680.630
Worst680.630680.646680.632680.763680.673680.630680.630
Std.

g10/7049.248Best7049.2497049.5707049.3787054.3167052.2537059.8027052.473
Median7049.2577071.0607105.9927372.6137215.357NA7054.639
Mean7049.2587105.8447112.0127559.1927250.4377075.8327054.623
Worst7049.3117347.2647191.2958835.6557560.2247098.2547058.081
Std.

g11/0.7499Best0.74990.74990.74990.7500.750.7500.7499
Median0.74990.74990.74990.7500.75NA0.7499
Mean0.74990.74990.74990.7500.750.7500.7499
Worst0.74990.74990.74990.7500.750.7500.7499
Std.

g12/−1.000Best−1−1.0000−1.0000−1.000000−1.000−1.000000−1
Median−1−1.0000−1.0000−1.000000−1.000NA−1
Mean−1−1.0000−1.0000−1.000000−1.000−1.000000−1
Worst−1−1.0000−1.0000−1.000000−0.994−1.000000−1
Std.000 00

g13/0.0539415Best0.05394150.05394520.05394150.0539570.053950NA0.0539415
Median0.05394150.05468930.05394150.0570060.053952NA0.0588605
Mean0.05394150.06028430.05394170.0675430.053959NA0.1586557
Worst0.05394150.08282000.05394280.2169150.053999NA0.4461180
Std. NA