- Category:
- matlab
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[Matlab]
[源码]
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- 121kb
- Update:
- 2014-10-20
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- Uploaded by:
- 天天
Description: GA genetic algorithm and PSO Ion combination algorithm matlab program, the following is a brief description of the use of this procedure with the use of step a) to modify the design variables are defined by the number of NPar variable number of design variables, in this case eight, when used according to need their actual situation changes. 2) modify the design variables on the lower limit is defined VarLow and VarHign upper and lower limits of design variables need to be modified when used according to their actual situation. Remember, dimensions variable, the number to be with a) variable consistency oh. 3) Modify FunName variable FunName definition is to optimize the objective function value calculation function, according to their actual situation into their own function name. 4) Modify the maximum number of iterations MaxIterations issue according to their actual, through spreadsheets to find the appropriate number MaxIterations. If you are more proficient GA and PSO, but also can
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GA遗传算法与PSO离子群组合算法matlab程序\acess.mat
.......................................\cd.mat
.......................................\CrossOver_fcn.m
.......................................\GAPSO.m
.......................................\Myfit.m
.......................................\PSO_Fcn.m
.......................................\SelectParents_Fcn.m
.......................................\程序使用说明.doc
GA遗传算法与PSO离子群组合算法matlab程序
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