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

Table 4

The comparison of the extreme trade-off points (as shown in Figure 3) in terms of the values of objective functions and their corresponding design variables between present work (MOHTS), NSGA-II, and previous work by Bouazara [23] Jamali et al. [21], and Mahmoodabadi et al. [22].

Trade-off point	(N/m)	(N/m)	(N/m)	(Ns/m)	(Ns/m)	(Ns/m)	r (m)	(m/s^2)	(m/s)
(MOHTS)	77448.364	10000	19940.983	3991.464	500	1997.748	0.5	1.831	0.495
(MOHTS)	61311.317	20000	20000	4000	2000	1904.71	0.047	4.06	0.358
(NSGA-II)	146432.050	10000	10000	1369.147	1739.995	1798.133	0.415	2.129	0.388
(NSGA-II)	81907.529	19999.348	17542.899	3517.244	2000	1767.371	0.496	3.832	0.358
from [21]	146863	10039.2	10313.7	3941.18	1917.65	1958.82	0.5	2.807	0.417
from [21]	57451	10039.2	18196.1	2517.65	964.706	1476.47	0.3412	3.297	0.407
from [22]	146728.6	10006.86	10020.65	3964.849	1806.955	1947.486	0.498	2.794	0.415
from [22]	149700.2	10003.23	19907.76	1796.857	940.0627	548.968	0.499	3.331	0.405
from [24]	105630	14958	14985	2548	1956	1967	0.288	3.089	0.375