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nsga2's Introduction

NSGA2

This is an implementation of NSGA2 algorithms
with complex Objectives and Constraints (penalty approach).

The NSGA2 is an evolutionary algorithm used for Decision-making on Real-World problems.

Note

In ./main check out the settings and Run the algorithm. For customizing, go to individual.py and define your variables. In problme.py define your objectives and constraints. In data.py import your data in the format of pandas Dataframes.

Tip

You can define a Repair Strategy instead of Penalty for constraints in utils.py

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