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

Table 6

The comparison of the extreme trade-off points (as shown in Figure 5) 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)	(m)	(m/s^2)	(m/s)
(MOHTS)	77446.455	10000	19982.171	3996.929	500.853	1998.217	0.5	1.83	0.079
(MOHTS)	92412.553	10000	20000	4000	2000	2000	0.5	2.182	0.068
(NSGA-II)	77397.693	10005.791	18820.197	3997.672	500	1914.903	0.5	1.867	0.08
(NSGA-II)	107565.51	10147.906	19940.144	3604.317	2000	1999.218	0.466	2.229	0.068
from [21]	146863	10039.2	10313.7	3941.18	1917.65	1958.82	0.5	2.807	0.09
from [21]	57058.8	10000	10000	3588.24	2000	1676.47	0.114	3.045	0.08
from [22]	147769.6	10012.38	10037.35	3926.99	1997.283	1879.508	0.498	2.796	0.0896
from [22]	50006.19	10000.09	10000.09	3999.446	1999.998	785.631		3.605	0.0866
from [24]	105630	14958	14985	2548	1956	1967	0.288	3.089	0.0844