Optimization in Construction Management Using Adaptive Opposition Slime Mould Algorithm

Table 10

Comparison of different algorithms and AOSMA.

No. of runs	MAWA-TLBO		MAWA-GA		MAWA-AS		MAWA-ACS-SGPU		AOSMA
	Time (days)	Cost ($)	Time (days)	Cost ($)	Time (days)	Cost ($)	Time (days)	Cost ($)	Time (days)	Cost ($)
1	100	283420	100	287720	100	286670	100	285400	100	288250
2	101	281200	101	284020	101	284300	101	282508	101	291615
3	104	277170	104	280020	104	277265	104	277200	104	280408
4	110	273470	110	273720	110	272265	110	273165	110	280320
Populations	40		50		50		10		50
Number of iterations	70		500		400		200		100
Number of evaluation	5,640		25,000		20,000		2,000		5,000

The meaning of the bold values represent the AOSMA model’s greatest evaluation.