Research Article
E-dyNSGA-III: A Multi-Objective Algorithm for Handling Pareto Optimality over Time
| | Parameter | Setting |
| | Problem dynamicity (st) | 5 (initial) | | Frequency of change (ft) | 10 (initial) | | Dimension size | 50 | | Number of population guiding points (pt) | 21 | | Number of search candidates (Ns) | 300 (for F7 and F8) | | 500 (for F10 and F11) | | Mutation probability (pm) | 0.1 | | Crossover rate (cr) | 0.5 (adaptive) | | Crossover distribution index (ρd) | 28 | | Mutation distribution index (ρm) | 15 |
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