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

Raja, Muhammad Asif Zahoor; Kiani, Adiqa Kausar; Shehzad, Azam; Zameer, Aneela

doi:10.1186/s40064-016-3750-8

SpringerPlus

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
Method	t ₁	t ₂	t ₃	t ₄	t ₅	ɛ
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

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