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Table 10 Comparison of trained parameters along with their fitness for GA and GA-SQP algorithms in case of problem 6

From: Memetic computing through bio-inspired heuristics integration with sequential quadratic programming for nonlinear systems arising in different physical models

Method Proposed solutions ɛ
t 1 t 2 t 3 t 4 t 5
GA-1 −0.05232134 2.55174864 −1.79439654 −1.70502885 −0.58646497 1.2304E−09
GA-2 −0.05235315 2.55165541 −1.79424191 −1.70503153 −0.58650707 4.9779E−10
GA-3 −0.05237792 2.54633426 −1.79043794 −1.70193969 −0.58882572 3.6107E−06
GA-4 1.04961877 −1.49514638 0.03145951 −0.58636170 −1.70890458 1.7101E−06
GA-5 1.05237831 −1.49657666 0.03069550 −0.58650558 −1.70496102 2.3976E−10
GA-6 −0.05239351 2.55146647 −1.79407554 −1.70496963 −0.58658463 3.0835E−09
GA-7 1.05155963 −1.49559735 0.03101468 −0.58635525 −1.70711513 3.3197E−07
GA-8 1.04986636 −1.49478395 0.03130816 −0.58633776 −1.70956928 1.6279E−06
GA-9 −0.34925861 −0.27768182 −0.21422258 −0.15877634 −6.29819537 1.1820E−09
GA-10 −0.05251523 2.55075517 −1.79319677 −1.70475423 −0.58687119 9.4592E−08
GA-11 1.05132700 −1.49484237 0.03124121 −0.58622944 −1.70773132 9.0707E−07
GA-12 1.05401533 −1.49771615 0.03017421 −0.58658770 −1.70156701 8.8953E−07
GA-SQP-1 −0.34928445 −0.27770053 −0.21423688 −0.15877814 −6.29809606 4.9304E−33
GA-SQP-2 −0.34928445 −0.27770053 −0.21423688 −0.15877814 −6.29809606 9.8608E−33
GA-SQP-3 −0.05235137 2.55164291 −1.79427573 −1.70501581 −0.58650482 2.4652E−33
GA-SQP-4 −0.34928445 −0.27770053 −0.21423688 −0.15877814 −6.29809606 9.8608E−33
GA-SQP-5 1.34928445 1.74898460 2.19982701 −6.29809606 −0.15877814 9.8608E−33
GA-SQP-6 −0.05235137 2.55164291 −1.79427573 −1.70501581 −0.58650482 9.8608E−33
GA-SQP-7 −0.05235137 2.55164291 −1.79427573 −1.70501581 −0.58650482 9.8608E−33
GA-SQP-8 −0.34928445 −0.27770053 −0.21423688 −0.15877814 −6.29809606 2.4652E−33
GA-SQP-9 1.34928445 1.74898460 2.19982701 −6.29809606 −0.15877814 4.9304E−33
GA-SQP-10 −0.05235137 2.55164291 −1.79427573 −1.70501581 −0.58650482 9.8608E−33
GA-SQP-11 −0.34928445 −0.27770053 −0.21423688 −0.15877814 −6.29809606 2.4652E−33
GA-SQP-12 −0.34928445 −0.27770053 −0.21423688 −0.15877814 −6.29809606 2.4652E−33