Research Article
A Many-Objective Optimization Algorithm Based on Weight Vector Adjustment
| | Input: Parent weight W_unit | | | Output: Offspring weight W_unit | | (1) | Normalize (Pt, W_unit) | | (2) | Cluster objective vectors set | | (3) | Weight Space Decomposition() | | (4) | Calculate objective space density | | (5) | Calculate the subspace density | | (6) | If | | (7) | If | | (8) | Delete a weight vector | | (9) | else | | (10) | Adjustment weight vectors by formulas (6) and (7) | | (11) | End If | | (12) | else if | | (13) | Adjustment weight vectors by formulas (8) and (9) | | (14) | else | | (15) | Add a weight vector | | (16) | End If | | (17) | End If | | (18) | If i = k && length(W_unit) ≠ N | | (19) | Adjustment weight vectors of whole weight space | | (20) | End If |
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