NSGA2 algorithm matlab implementation (multiple te
2016-08-23
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Application background
In addition to the original NSGA2 algorithm, not only the convergence of the index as well as the uniformity of the index, and the DTLZ1-3, ZDT1-6 and other classic tests were tested, and the interface is friendly. At the same time, the ideal Pareto optimal solution set is built for each test function. The results of the algorithm and the optimal results are also drawn.Key Technology
NSGA- II is one of the most popular multi-objective evolutionary algorithms. It reduces the complexity of the non inferiority complex, and has the advantages of fast running speed and good convergence of the solution set. NSGA- algorithm is proposed based on Srinivas and Deb in 2000, which is more advantageous than NSGA algorithm. It uses a fast non dominated sorting algorithm to compute the complexity of NSGA greatly reduces the complexity of NSGA, and uses the shareQ as the standard, so that the individual can be extended to the entire Paretmatlab
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