文件名称:femo_c_source.tar
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多目标优化算法——Fair Evolutionary Multiobjective Optimizer-FEMO (Fair Evolutionary Multiobjective Optimizer) is a population-based evolutionary algorithm for multiobjective optimization. This algorithm uses an archive of variable size that stores all non-dominated individuals. For each individual, a counter is used to count the number of times this individual has been chosen for variation. As parent individual, the individual with the lowest variation count will be chosen, ties are broken randomly. In order to keep the archive size small, a new solution is only accepted if it is not equal in all objective values to any other individual in the archive.
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下载文件列表
femo_c_source/
femo_c_source/femo_documentation.txt
femo_c_source/femo_param.txt
femo_c_source/PISA_cfg
femo_c_source/selector.h
femo_c_source/selector.c
femo_c_source/selector_internal.h
femo_c_source/selector_internal.c
femo_c_source/selector_user.h
femo_c_source/selector_user.c
femo_c_source/Makefile
femo_c_source/femo_documentation.txt
femo_c_source/femo_param.txt
femo_c_source/PISA_cfg
femo_c_source/selector.h
femo_c_source/selector.c
femo_c_source/selector_internal.h
femo_c_source/selector_internal.c
femo_c_source/selector_user.h
femo_c_source/selector_user.c
femo_c_source/Makefile
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