文件名称：MOEA-NSGA-II
文件大小：363KB
文件格式：RAR
更新时间：2019-04-30 13:21:58
MOEA-NSGA-II
NSGA (No n- Do mina te d So r ting in Ge ne tic Alg o r ithms [5 ]) is a p o pula r no n-do mina tio n ba s e d g e ne tic a lg o r ithm fo r multi- o b je c tive o ptimiz a tio n. I t is a ve r y e ffe c tive a lg o r ithm but ha s b e e n g e ne r a lly c r itic iz e d fo r its c o mputa tio na l c o m-ple x ity, la ck o f e litis m a nd fo r cho o s ing the o ptima l pa r a mete r va lue fo r s ha r ing pa r a me te r σsh ar e . A mo difie d ve r s io n, NSGA- I I ( [3 ]) wa s de ve lo p e d, w hich ha s a b e tte r s o r ting a lg o r ithm , inc o r p o r a te s e litis m a nd no s ha r ing pa r a me te r ne e ds to b e cho s e n a priori. NSGA- I I is dis c us s e d in de ta il in this r e p o r t a nd two s a mple te s t func tio ns a r e o ptimiz e d us ing it.
【文件预览】：
MOEA-NSGA-II
----tournament_selection.m(2KB)
----plot_objective.m(476B)
----genetic_operator.m(3KB)
----evaluate_objective.m(970B)
----non_domination_sort_mod.m(4KB)
----crowding_distance.m(1KB)
----nsga_2.m(5KB)
----html()
--------initialize_variables.html(4KB)
--------genetic_operator.html(10KB)
--------non_domination_sort_mod.html(11KB)
--------tournament_selection.html(6KB)
--------crowding_distance.html(5KB)
--------replace_chromosome.html(6KB)
--------nsga_2.html(13KB)
----NSGA_2.pdf(365KB)
----initialize_variables.m(966B)
----solution.txt(3KB)
----replace_chromosome.m(2KB)