| Algorithm | Optimal values for variables | Optimal cost | d | D | P |
| WOA (Mirjalili and Lewis, 2016) | 0.051207 | 0.345215 | 12.54854 | 0.0126763 | MVO (Mirjalili et al., 2016) | 0.05251 | 0.37602 | 10.33513 | 0.012790 | CPSO (He and Wang, 2007) | 0.051728 | 0.357644 | 11.244543 | 0.0126747 | GSA (Rashedi et al., 2009) | 0.0500 | 0.317312 | 14.22867 | 0.0128739 | GA (Coello and Mezura-montes, 2002) | 0.051989 | 0.363965 | 10.890522 | 0.012681 | ES (Mezura-montes and Coello, 2008) | 0.051643 | 0.3556 | 11.397926 | 0.012698 | HS (Mahdavi et al, 2007) | 0.051154 | 0.349871 | 12.076432 | 0.0126706 | CGDA (Baykasoğlu, 2012) | 0.0516925 | 0.3568108 | 11.2835059 | 0.012665 | BA (Gandomi et al., 2013) | 0.05169 | 0.35673 | 11.2885 | 0.0126652 | MFO (Mirjalili, 2015) | 0.051994457 | 0.36410932 | 10.868421862 | 0.0126669 | HPSODE (Liu et al., 2010) | 0.0516888101 | 0.3567117001 | 11.289319935 | 0.0126652329 | CDE (Hang et al., 2007) | 0.051609 | 0.354714 | 11.410831 | 0.0126702 | UABC (Brajevic and Tuba, 2013) | 0.051691 | 0.356769 | 11.285988 | 0.012665 | AFA (Baykasoğlu and Ozsoydan, 2015) | 0.051667 | 0.356198 | 11.319561 | 0.0126653 | CSA (Askarzadeh, 2016) | 0.051689 | 0.356717 | 11.289012 | 0.0126652 | TEO (Kaveh and Dadras, 2017) | 0.051775 | 0.358792 | 11.168390 | 0.012665 | GWO (Mirjalili et al., 2014) | 0.05169 | 0.356737 | 11.28885 | 0.012665 | EEGWO (Long et al., 2018) | 0.051673 | 0.35634 | 11.3113 | 0.012665 | SCA (Mirjalili, 2016) | 0.05078 | 0.334779 | 12.72269 | 0.0127097 | ISCA (Wen Long et al, 2018) | 0.0520217 | 0.364768 | 10.8323 | 0.012667 | ROL-GWO (Wen Long et al, 2019) | 0.0517234 | 0.357538 | 11.2416 | 0.012666 | HA (this work) | 0.0513 | 0.3184 | 10.1900 | 0.010214 |
|
|