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The crossovers for Genetic algorithm are developed using ranking approach and known as rank-based crossover type I and type II (RBC-I and RBC-II). The detail explanation of these crossovers are available in the following publication:
Kamarudin, N. H., & Rashid, M. A. (2017, October). Assembly line balancing with resource constraints using new rank-based crossovers. In Journal of Physics: Conference Series (Vol. 908, No. 1, p. 012059). IOP Publishing.
Cite As
Mohd Rashid (2026). Ranked-Based Crossover (https://nl.mathworks.com/matlabcentral/fileexchange/73282-ranked-based-crossover), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (1.72 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
