[Retracted] Modeling and Optimization of Water Distribution in Mineral Processing considering Water Cost and Recycled Water

Table 1

The comparable results between EMOABC, NSGA-II, and MOPSO.

Criteria	Algorithm		ZDT1	ZDT2	ZDT3
Convergence	EMOABC	Mean	3.6239e − 3; 2.3514e − 2	2.2485e − 2; 2.6594e − 1	6.3256e − 2; 2.6585e − 3
		Std
	NSGA-II	Mean	3.9635e − 3; 2.6985e − 2	2.9651e − 2; 2.9985e − 1	5.5883e − 2; 1.4154e − 3
		Std
	MOPSO	Mean	4.1265e − 3; 3.6517e − 2	2.8654e − 2; 3.9914e − 1	7.9562e − 2; 3.1953e − 3
		Std
Diversity	EMOABC	Mean	6.6263e − 3	5.6156e − 2	3.6989e − 2
		Std	4.5696e − 4	4.2654e − 3	2.5359e − 3
	NSGA-II	Mean	3.3659e − 2	3.4889e − 1	3.7569e − 1
		Std	5.6387e − 2	3.1245e − 1	3.1245e − 2
	MOPSO	Mean	6.9159e − 2	7.6385e − 2	4.7646e − 1
		Std	5.4512e − 2	6.2589e − 3	3.6632e − 2