Research Article

An Evolutionary Frog Leaping Algorithm for Global Optimization Problems and Applications

Table 10

Comparison results for 13 algorithms (D = 100).

AlgorithmsF1RF3RF20RF23RF28RF29R

AAA mean1.1125E−7964.4886E + 03102.1242E + 0111.4474E + 0417.1266E + 04102.5430E + 066
Std.2.5740E−791.4235E + 036.0063E − 021.2360E + 031.7915E + 049.6863E + 05
EFLA mean6.6252E − 2866.0290E − 072.1253E + 011.4736E + 048.4302E + 021.5399E + 05
Std.0.0000E + 001.4203E − 063.4012E−022.4380E + 031.4322E + 027.2197E + 04
GWO mean0.0000E + 0015.8937E−0342.1277E + 0142.9645E + 04101.0410E + 0471.1259E + 0710
Std.0.0000E + 002.0000E−024.8661E−023.7559E + 036.0506E + 034.2230E + 06
EFLA mean6.6252E−2866.0290E − 072.1253E + 011.4736E + 048.4302E + 021.5399E + 05
Std.0.0000E + 001.4203E − 063.4012E − 022.4380E + 031.4322E + 027.2197E + 04
CMAES mean1.3759E−2888.7795E − 2722.1278E + 0151.6447E + 0468.7535E + 0223.6520E + 031
Std.6.7881E−306.1501E − 285.3762E−021.3676E + 031.6156E + 025.4436E + 02
EFLA mean6.6252E − 2866.0290E−072.1253E + 011.4736E + 048.4302E + 021.5399E + 05
Std.0.0000E + 001.4203E−063.4012E − 022.4380E + 031.4322E + 027.2197E + 04
LAPO mean0.0000E + 0012.8293E − 3212.1293E + 0183.0373E + 04117.6865E + 05133.7556E + 0813
Std.0.0000E + 001.5481E − 312.7631E−026.1967E + 021.5186E + 057.3274E + 07
EFLA mean6.6252E−2866.0290E−072.1253E + 011.4736E + 048.4302E + 021.5399E + 05
Std.0.0000E + 001.4203E−063.4012E − 022.4380E + 031.4322E + 027.2197E + 04
SFLA mean1.4904E−13113.0880E + 0292.1303E + 01101.6551E + 0471.0833E + 0483.2197E + 067
Std.8.0803E−135.9743E + 012.2014E−022.0443E + 031.4502E + 035.3386E + 05
EFLA mean6.6252E − 2866.0290E − 072.1253E + 011.4736E + 048.4302E + 021.5399E + 05
Std.0.0000E + 001.4203E − 063.4012E − 022.4380E + 031.4322E + 027.2197E + 04
NNA mean5.1299E−1793.6852E + 0052.1283E + 0161.9107E + 0481.2615E + 0497.7348E + 06
Std.1.2987E−161.4683E + 013.6170E−021.5868E + 036.1335E + 032.5688E + 06
EFLA mean6.6252E − 2866.0290E − 072.1253E + 011.4736E + 048.4302E + 021.5399E + 0511
Std.0.0000E + 001.4203E − 063.4012E − 022.4380E + 031.4322E + 027.2197E + 04
GbABC mean1.5196E−15104.5842E + 04122.1308E + 01131.6237E + 0451.2516E + 05111.1578E + 07
Std.1.2251E−167.5077E + 032.4901E−029.0027E + 022.8233E + 043.5576E + 06
EFLA mean6.6252E − 2866.0290E − 072.1253E + 011.4736E + 048.4302E + 021.5399E + 05
Std.0.0000E + 001.4203E − 063.4012E − 022.4380E + 031.4322E + 027.2197E + 04
SSA mean2.1980E−5172.3486E + 0282.1252E + 0121.4561E + 0421.7156E + 0359.2387E + 054
Std.2.7362E−527.1058E + 014.5617E − 021.5796E + 033.5664E + 024.4898E + 05
EFLA mean6.6252E − 2866.0290E − 072.1253E + 011.4736E + 048.4302E + 021.5399E + 05
Std.0.0000E + 001.4203E − 063.4012E−022.4380E + 031.4322E + 027.2197E + 04
SCA mean1.6964E + 01127.6202E + 04132.1304E + 01113.0799E + 04131.3059E + 05127.6041E + 0712
Std.9.2820E + 012.1699E + 042.6376E−024.6271E + 023.4908E + 042.1585E + 07
EFLA mean6.6252E − 2866.0290E − 072.1253E + 011.4736E + 048.4302E + 021.5399E + 05
Std.0.0000E + 001.4203E − 063.4012E − 022.4380E + 031.4322E + 027.2197E + 04
TSQPSO mean2.0134E−24432.3121E + 0272.1287E + 0172.8306E + 0491.1922E + 0333.2510E + 068
Std.0.0000E + 009.2601E + 014.0094E−021.4779E + 033.7968E + 021.1347E + 06
EFLA mean6.6252E − 2866.0290E − 072.1253E + 011.4736E + 048.4302E + 021.5399E + 05
Std.0.0000E + 001.4203E − 063.4012E − 022.4380E + 031.4322E + 027.2197E + 04
WQPSO mean3.1583E−8851.1209E + 04112.1296E + 0193.0533E + 04121.3082E + 0343.6247E + 069
Std.8.1474E−883.9403E + 033.6636E−024.3334E + 023.1719E + 021.4590E + 06
EFLA mean6.6252E − 2866.0290E − 072.1253E + 011.4736E + 048.4302E + 021.5399E + 05
Std.0.0000E + 001.4203E − 063.4012E − 022.4380E + 031.4322E + 027.2197E + 04
SaDE mean6.7961E−9444.7911E + 0062.1305E + 01121.4912E + 0446.7720E + 0362.9824E + 053
Std.3.1491E−932.0130E + 002.8644E−022.0069E + 032.9429E + 031.0970E + 05
EFLA mean6.6252E − 28626.0290E − 0732.1253E + 0131.4736E + 0438.4302E + 0211.5399E + 052
Std.0.0000E + 001.4203E − 063.4012E − 022.4380E + 031.4322E + 027.2197E + 04