Description: Multi-objective optimization genetic algorithm is effective to avoid the slow convergence rate and close competition and other issues, leading Pareto closer to the ideal cutting edge, and the convergence speed is very fast.
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Multi objective optimization of test function
.............................................\Debug
.............................................\.....\OUT.txt
.............................................\.....\SGA1.exe
.............................................\.....\SGA1.ilk
.............................................\.....\SGA1.obj
.............................................\.....\SGA1.pch
.............................................\.....\SGA1.pdb
.............................................\.....\sga2.exe
.............................................\.....\sga2.ilk
.............................................\.....\sga2.obj
.............................................\.....\sga2.pdb
.............................................\.....\vc60.idb
.............................................\.....\vc60.pdb
.............................................\SGA1.CPP
.............................................\SGA1.DSP
.............................................\SGA1.DSW
.............................................\SGA1.PLG
.............................................\SGA1.ncb
.............................................\SGA1.opt
.............................................\SGA2.DSW
.............................................\SGA2.EXE
.............................................\SGA2.NCB
.............................................\SGA2.OPT
.............................................\SGA2.PLG
.............................................\SGA2.rar
.............................................\UNTITLED.OPJ
.............................................\UNTITLED12.8.OPJ
.............................................\out.txt
.............................................\sga2.dsp
贪心遗传算法在多目标优化中的应用研究.doc
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