💻 这是一个经典的遗传算法标准源程序 - 源码文件列表

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源码文件总数： 50 个
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151
📄 sga__selection_truncation.p
0 B
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152
📄 sga__delete_same_segment.p
0 B
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153
📄 sga__mo_non_pareto_vega_divide_population_by_objects.p
0 B
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154
📃 input_max_generation.txt
3 B
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155
📄 sga_benchmark_funcs.p
0 B
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156
📄 sgalab_demo_mo_muga_mendel.m
10.95 KB
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157
📄 sga_showclock.p
0 B
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158
📄 sga__suspension_skyhook_quarter.mdl
64 KB
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159
📄 sga__suspension_flc_std_2in1out_sfunction.jpg
0 B
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160
📄 sga__suspension_skyhook_quater_sfuncion.m
4.46 KB
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161
📄 sga__suspension_quarter_semiactive.jpg
0 B
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162
📄 sga__suspension_skyhook_quarter.mat
0 B
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163
📄 sga__suspension_skyhook_quarter.jpg
0 B
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164
📄 sga__suspension_flc_replot.m
8.04 KB
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165
📄 sga__suspension_flc_quarter.mat
0 B
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166
📄 sga__suspension_flc_quarter_semiactive.mdl
46.83 KB
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167
📄 sga__suspension_skyhook_quarter_semiactive.mdl
59.76 KB
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168
📄 sxlab-flc&skyhook-vehicle suspension system modelling.pdf
0 B
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169
📄 sxlab-flc&skyhook.pdf
0 B
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170
📄 sxlab-flc&skyhook-(1).pdf
0 B
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171
📃 sga__suspension what'snew.txt
1.32 KB
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172
📄 sga__suspension_flc_std_2in1out_sfunction.m
10.57 KB
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173
📄 sga__suspension_flc_quater.mdl
64 KB
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174
📄 sga__suspension_skyhook_replot.m
8.11 KB
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175
📄 sga__suspension_flc_std_2in1out.mdl
21.48 KB
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176
📄 sga__suspension_flc_quater_passive.mdl
43.77 KB
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177
📄 sga__suspension_flc_quarter.mdl
64 KB
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178
📄 sga__suspension_quarter_passive.jpg
0 B
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179
📄 sga__fitness_obj.eps
26.9 KB
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180
📄 sga__fitness_2obj_vega.jpg
0 B
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181
📄 sga__fitness_2obj_nsgaii.jpg
0 B
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182
📄 sga__fitness_2obj_nsga.eps
10.89 KB
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183
📄 sga__fitness_2obj_moga.jpg
0 B
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184
📄 sga__fitness_2obj_nsgaii.eps
10.89 KB
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185
📄 sga__fitness_2obj_vega.eps
10.9 KB
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186
📄 sga__fitness_2obj_nsga.jpg
0 B
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187
📄 sga__fitness_2obj_moga.eps
10.9 KB
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188
📄 sga__fitness_2obj_npga.jpg
0 B
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189
📄 sga__fitness_2obj_npga.eps
10.89 KB
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190
📄 sga__fitness_obj.jpg
0 B
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191
📄 list_current_dir_files.p
0 B
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192
📄 sga__encoding_int_uniformly.p
0 B
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193
📄 sga_entry_mo_pareto_npga.p
0 B
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194
📄 sga__tsp_xypoint_to_costmatrix.p
0 B
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195
📄 sga__pareto_front_nsga_fitness_data2.mat
0 B
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196
📄 sga__mo_agg_gp_fitness.p
0 B
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197
📄 sga__microga_population_internal_update.p
0 B
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198
📃 input_probability_crossover_step.txt
3 B
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199
📄 sga__pareto_replot_2d_nsga.p
0 B
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200
📃 output_meanfitness.txt
9 B
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