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SMSEMOA

于 2022-01-25 发布 文件大小:38.35 kB
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代码说明:

 % implementation based on [1][2] using % *  Computation of the Hypervolume Indicator based on [3] %    http://sbe.napier.ac.uk/~manuel/hypervolume % *  Pareto Front Algorithms %    http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?object %    Id=17251&objectType=file % *  coding-fragments from NSGA - II %    http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?object %    Id=10429&objectType=file % % [1] Michael Emmerich, Nicola Beume, and Boris Naujoks. An EMO algorithm % using the hypervolume measure as selection criterion. In C. A. Coello % Coello et al., Eds., Proc. Evolutionary Multi-Criterion Optimization, % 3rd Int"l Conf. (EMO 2005), LNCS 3410, pp. 62-76. Springer, Berlin, 2005. % % [2] Boris Naujoks, Nicola Beume, and Michael Emmerich. Multi-objective % optimisatio

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