Research Article
A Many-Objective Optimization Algorithm Based on Weight Vector Adjustment
Algorithm 1
Generation framework of the proposed NSGA-III-WA.
| Input: N structured reference points W_unit, parent population Pt | | Output: | (1) | Initialization (Pt, W_unit) | (2) | Gen = 1 | (3) | While Gen ≤ Gen_max do | (4) | Qt = Evolutionary strategy (Pt) | (5) | Rt = Pt Qt | (6) | Pt + 1 = Environmental_selection (Rt) | (7) | W_unit = Weight_Adjustment (W_unit) | (8) | Gen++ | (9) | End While | (10) | Return |
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