Computational Intelligence and Neuroscience

Research Article

Modified Backtracking Search Optimization Algorithm Inspired by Simulated Annealing for Constrained Engineering Optimization Problems

Table 6

The statistical results of the basic BSA on 13 constrained benchmarks.
Fun.Known optimalBestMeanWorstStdFEs
G01−15−15−15−15.00000099,300
G02−0.803619−0.803255−0.792760−0.749326344,580
G03−1.000500−1.000488−0.998905−0.990600348,960
G04−30665.538672−30665.538672−30665.538672−30665.538672272,040
G055126.4967145126.4967145144.0413635275.384724299,220
G06−6961.813876−6961.813876−6961.813876−6961.813876111,450
G0724.30620924.30760724.34462624.399896347,250
G08−0.0958250−0.0958250−0.0958250−0.095825073,440
G09680.630057680.630058680.630352680.632400348,900
G107049.2480217049.2785437053.5738537080.192700340,020
G110.7499000.7499000.7499000.749900113,250
G12−1−1−1−1013,590
G130.05394150.05394200.18169860.5477657347,400