Mathematical Problems in Engineering

Research Article

Ls-II: An Improved Locust Search Algorithm for Solving Optimization Problems

Table 3

Minimization results for the engineering optimization problems described in Appendix B. Results were obtained from 30 individual runs, each by considering population size of and maximum number of iterations .
  PSODEABCHSBALSLS-II
7302.9446590.186497.5399702.13540059528910.086059.73
6876.6796877.0656138.0016523.0046683.2716882.1376059.72
6876.6796897.2916311.3347210.724103291.87986.0616059.72
5.61×10021.33×10027.84×10016.82×10021.20×10055.87×10034.30×10-03
1.17×10−011.18×10−023.85×10−023.82×10−025.14×10−026.47×10−029.61×10-03
1.61×10−028.13×10−032.50×10−022.70×10−027.99×10−027.27×10−035.39×10-03
1.17×10−027.96×10−032.21×10−021.09×10−025.52×10−027.03×10−026.74×10-03
4.43×10057.94×10−041.31×10−184.79×10052.40×10051.16×10−031.03×10-03
1.98511.75111.74981.80121.79551.74491.72485
1.74211.7251.72491.72481.72491.72771.72485
1.75781.72981.72511.75621.72521.73111.72485
7.41×10−039.87×10−023.50×10−044.40×10−042.50×10−038.50×10−017.16×10-07
347.763347.2367346.4102347.5836300.9182320.2528279.936
346.4523346.4538346.4102345.3665284.377301.3875279.725
346.675346.7444346.4102346.345286.777308.2089279.743
2.90×10−011.98×10−015.74×10-141.98×10−013.44×10006.68×10−014.12×10−02
28.5164626.2740727.6010928.8197330.0806828.3416425.7868
25.512724.5624622.8551423.5903722.3235421.0567220.1103
26.1582425.8223224.4529625.5921727.0096625.4271523.898
2.196.463.501.722.142.551.56
1.35×10−069.09×10−074.70×10−071.79×10−063.13×10−081.57×10−023.96×10-08
2.22×10−061.78×10−091.33×10−102.67×10−098.90×10−104.45×10−075.10×10-13
7.17×10−035.73×10−034.30×10−038.60×10−032.87×10−031.43×10−031.27×10-10
2.06×10−031.65×10−031.23×10−032.47×10−038.23×10−054.12×10−037.77×10-09
1.58×10051.11×10058.66×10041.07×10052.60×10058.53×10048.44×1004
8.49×10048.37×10048.37×10048.45×10041.12×10058.37×10048.27×1004
1.05×10058.95×10048.43×10049.35×10041.26×10058.42×10048.33×1004
1.58×10048.06×10038.30×10024.84×10032.64×10044.85×10024.80×1002