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MultiObjective Optimization Non-Sorting Genetic Algorithm capable to solve Mixed-Integer Non-Linear Problems.

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Real-Coded-Integer-Handling-NSGA-II

MultiObjective Optimization Non-Sorting Genetic Algorithm capable to solve Mixed-Integer Non-Linear Problems.

This Code is a modified versión of free available Tamilselvi Selvaraj NSGA II Matlab Code capable to solve mixed-integer non-linear programming with constraints. Several benchmarks problems are solved using aforementioned algorithm including problems with integer variables.

Guideline: Open "NSGA_II_Abril_Test.m" . Select the "p" benchmark problem that you want (p=2 ---> ZDT1 problem). RUN "NSGA_II_Abril_Test.m"

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MultiObjective Optimization Non-Sorting Genetic Algorithm capable to solve Mixed-Integer Non-Linear Problems.

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