Pareto Optimization of a Half Car Passive Suspension Model Using a Novel Multiobjective Heat Transfer Search Algorithm

Table 8

The comparison of the extreme trade-off points (as shown in Figures 18–25) in terms of the values of objective functions and their corresponding design variables between present work (MOHTS) and NSGA-II.

Trade-off point	(N/m)	(N/m)	(N/m)	(Ns/m)	(Ns/m)	(Ns/m)	r (m)		(m)	(m)	(m)	(m)
(MOHTS)	62325.038	10000.000	20000.000	4000.000	500.000	1999.952	0.500	0.850	0.035	0.026	0.003	0.003
(MOHTS)	105868.150	10000.000	20000.000	4000.000	2000.000	2000.000	0.500	1.062	0.033	0.016	0.003	0.002
(NSGA-II)	111650.910	10004.447	13795.435	3676.384	1411.603	1970.654	0.434	1.017	0.037	0.022	0.003	0.002
(NSGA-II)	113125.130	10000.024	13996.260	3668.958	1477.650	1997.922	0.454	1.021	0.036	0.021	0.003	0.002
(MOHTS)	66552.042	10000.000	20000.000	4000.000	500.000	1967.310	0.500	0.850	0.035	0.025	0.003	0.003
(MOHTS)	104962.350	10000.000	20000.000	4000.000	2000.000	1979.535	0.500	1.063	0.033	0.016	0.003	0.002
(NSGA-II)	95623.254	10030.399	15187.577	1680.633	1478.532	1995.701	0.500	1.045	0.036	0.021	0.003	0.002
(NSGA-II)	132369.180	10409.407	19999.716	2728.990	2000.000	1730.412	0.450	1.138	0.034	0.016	0.003	0.003
(MOHTS)	63426.812	10000.002	19976.225	3999.546	500.357	1962.724	0.500	0.849	0.035	0.026	0.003	0.003
(MOHTS)	62028.590	10000.000	20000.000	4000.000	500.000	500.000	0.500	1.584	0.048	0.028	0.002	0.009
(NSGA-II)	57838.283	10434.762	19752.225	2306.963	736.508	1672.299	0.500	1.019	0.038	0.026	0.003	0.003
(NSGA-II)	58174.332	10430.336	20000.000	2334.326	838.576	500.000	0.500	1.463	0.045	0.025	0.002	0.007
(MOHTS)	62635.017	10000.000	20000.000	4000.000	500.000	2000.000	0.500	0.850	0.035	0.026	0.003	0.003
(MOHTS)	50000.000	20000.000	10000.000	4000.000	2000.000	2000.000	0.486	1.908	0.040	0.026	0.007	0.001
(NSGA-II)	65778.794	10000.000	18885.969	3710.928	500.052	1932.241	0.500	0.874	0.036	0.026	0.003	0.003
(NSGA-II)	50308.460	19948.963	10000.000	3521.482	1971.198	1972.075	0.486	1.900	0.040	0.026	0.007	0.001