A Cross-Reference Line Method Based Multiobjective Evolutionary Algorithm to Enhance Population Diversity

Table 1

Settings of the number of reference points for each number of objectives, where p1 and p2 denote the numbers of divisions on each objective for the boundary layer and the insider layer, respectively.

Number of objectives (M)	Parameter (p1, p2)	Number of reference points/population size (N)
3	13, 0	105
5	6, 0	210
10	3, 2	275