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

Table 7

The comparison of the extreme trade-off points (as shown in Figure 6) 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)	78255.336	10000	19984.602	3996.583	502.137	1998.292	0.5	1.832	0.056
(MOHTS)	104827.01	10000	20000	4000	1999.516	2000	0.5	2.209	0.034
(NSGA-II)	92998.785	10002.354	19987.524	3995.824	601.103	1780.096	0.478	1.945	0.051
(NSGA-II)	114107.32	10354.485	19910.39	3637.269	2000	1983.220	0.485	2.264	0.035
from [21]	146863	10039.2	10313.7	3941.18	1917.65	1958.82	0.5	2.807	0.06
from [21]	92745.1	10000	18313.7	2941.18	576.471	1994.12	0.484	3.551	0.052
from [22]	147107.3	10001.45	10020.01	3941.79	1843.581	1999.742	0.499	2.791	0.059
from [22]	149232.8	10001.75	19998.5	3959.178	500.222	1999.908	0.499	3.655	0.05
from [24]	105630	14958	14985	2548	1956	1967	0.288	3.089	0.054