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Title: nsga-original Download
 Description: This a GA implementation for multi-objective optimization. *** *** For multi-objective optimization, non-domonated sorting has *** *** been used. The design variables can be Binary, Integer, Real *** *** or Enumerated data type. Moreover a design vector can have *** *** design variables where each variable can be any of the above *** *** mentioned types. The order in which the design variables *** *** are needed is also maintained in the code. For multi-objective*** *** optimization, sharing is done using either of two ways : *** *** Sharing on Fitness Space or Sharing on Parameter Space.
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