Expand description
NSGA-III (Non-dominated Sorting Genetic Algorithm III)
Reference-point-based many-objective evolutionary algorithm. NSGA-III extends NSGA-II for many-objective optimization (>3 objectives) by replacing crowding distance with reference-point-based selection.
Key features:
- Das-Dennis reference point generation
- Adaptive normalization of objective values
- Reference-point association using perpendicular distance
- Niching-based selection for population diversity
§References
- Deb & Jain, “An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I”, IEEE TEC 2014
Structs§
- NSGAIII
- NSGA-III optimizer for many-objective optimization