Skip to main content
. 2024 Mar 14;10:e1839. doi: 10.7717/peerj-cs.1839
Algorithm 3 Main steps of MMODE_AP
Input: MOPs: Multi-objective optimization problems; n: population size ; Gmax: Maximum Generation;
Output: A: Archive
1. Generation counter t = 1.
2. Initialization population Pt=x1,x2,,xNP
3. Whilet < Gmax
4. Set external archive At = ∅.
5. Non-dominated sorting on Pt to obtain P
6. For each xi ∈ Pti = 1, 2, …, n identify an exemplar
7. Generate a new solution offspring OPt =solution generation ( xi) // Algorithm 4
8. Preserve the new solution P′ = OPtP
9. Update the population Pt+1environmental selection (P) // Algorithm 5
10. Update the archiveAt+1// Algorithm 6
11. End while