An Indicator and Decomposition Based Steady-State Evolutionary Algorithm for Many-Objective Optimization

Table 2

Statistical results (mean values and standard deviations) of values obtained by each algorithm on the DTLZ1, DTLZ2, DTLZ3, and DTLZ4 test instances. Best performance is shown in bold. +, , and − denote that TS-R2EA performs significantly better than, equivalent to, and worse than the compared algorithm, respectively.

		-MOEA/D	MOMBI-II		DBEA		MOEA/D-PBI		MOEA/DD
DTLZ1	3(400)
		5(600)
	8(750)
		10(1000)
	15(1500)
		DTLZ2	3(250)
	5(350)
			8(500)
	10(750)
			15(1000)
DTLZ3	3(1000)
			5(1000)
	8(1000)
			10(1500)
	15(2000)
		DTLZ4	3(600)
	5(1000)
			8(1250)
	10(2000)
			15(3000)