| ²é¿´: 571 | »Ø¸´: 4 | ||
| ¡¾ÐüÉͽð±Ò¡¿»Ø´ð±¾ÌûÎÊÌ⣬×÷Õßxiaochoujiao½«ÔùËÍÄú 5 ¸ö½ð±Ò | ||
xiaochoujiaoгæ (СÓÐÃûÆø)
|
[ÇóÖú]
»¹ÊÇÎÄÏ׸ñʽ£¬¼ÌÐøÇóÖú ÒÑÓÐ1È˲ÎÓë
|
|
|
±¾ÈËÔÚ¸ù¾ÝÆÚ¿¯µÄÒªÇó½øÐиñʽÕûÀí£¬È¥ÍøÉÏÏÂÔØÁË¸ÃÆÚ¿¯µÄһƪÎÄÕ£¬¿´¿´ÀïÃæÓйػáÒéµÄ¸ñʽÈçºÎ£¿ÎÄÏ×[1]ºÍ[2]ÊÇ¸ÃÆÚ¿¯ÉϵÄһƪÎÄÕµÄ2ÖÖ¸ñʽ£¬¶¼ÊÇ»áÒ飬Ôõô»á²»Ò»Ñù£¬ÄÇÎÒÎÄÕÂÀïµÄÎÄÏ×[3]µÄ¸ñʽÊÇ·ñÕýÈ·£¿ [1]Kennedy J, Eberhart R. "Particle swarm optimization," in Proc.IEEE Int.Conf.Neural Networks. , Perth,Australia,vol.4.Mar.195,pp.1942-1948. [2]X.S.Yang and D.Suash,"Cuckoo Search via Levy flights," in World Congress Nature Biologically Inspired Computer (NaBIC). New York, NY,USA: IEEE Publication, 2009, pp. 210¨C214. ¡¾3¡¿A. W. Mohamed, A. A. Hadi, A. M. Fattouh, and K. M. Jambi,¡°LSHADE with semi-parameter adaptation hybrid with CMA-ES for solving CEC 2017 benchmark problems,¡± in Proc. IEEE Congr. Evol. Comput,pp.145¨C152,2017 |
» ²ÂÄãϲ»¶
297Çóµ÷¼Á
ÒѾÓÐ12È˻ظ´
26µ÷¼Á 086003
ÒѾÓÐ3È˻ظ´
265Çóµ÷¼Á
ÒѾÓÐ20È˻ظ´
271·ÖÇóµ÷¼ÁѧУ
ÒѾÓÐ11È˻ظ´
320·ÖÈ˹¤ÖÇÄܵ÷¼Á
ÒѾÓÐ6È˻ظ´
Çóµ÷¼Á£¬Ò»Ö¾Ô¸ÄϾ©º½¿Õº½Ìì´óѧ £¬080500²ÄÁÏ¿ÆÑ§Ó빤³Ìѧ˶
ÒѾÓÐ8È˻ظ´
280Çóµ÷¼Á
ÒѾÓÐ19È˻ظ´
Çó²ÄÁϵ÷¼Á£¬Ò»Ö¾Ô¸Ö£ÖÝ´óѧ289·Ö
ÒѾÓÐ15È˻ظ´
26¿¼Ñе÷¼Á0710 0860
ÒѾÓÐ6È˻ظ´
282Çóµ÷¼Á
ÒѾÓÐ22È˻ظ´
µ¾Ëë0307
гæ (ÖøÃûдÊÖ)
- Ó¦Öú: 0 (Ó×¶ùÔ°)
- ½ð±Ò: 4197.8
- É¢½ð: 2051
- ºì»¨: 9
- ɳ·¢: 10
- Ìû×Ó: 2821
- ÔÚÏß: 114.9Сʱ
- ³æºÅ: 6137646
- ×¢²á: 2017-03-25
- רҵ: Óлú·Ö×Ó¹¦ÄܲÄÁÏ»¯Ñ§
2Â¥2020-05-01 22:03:54
Jack-tar
гæ (ÖøÃûдÊÖ)
- Ó¦Öú: 0 (Ó×¶ùÔ°)
- ½ð±Ò: 4461.2
- É¢½ð: 500
- ºì»¨: 3
- Ìû×Ó: 1054
- ÔÚÏß: 25.5Сʱ
- ³æºÅ: 14472683
- ×¢²á: 2019-03-04
- רҵ: Äý¾Û̬ÎïÐÔ II £ºµç×ӽṹ
3Â¥2020-05-01 23:11:40
|
±¾ÌûÄÚÈݱ»ÆÁ±Î |
4Â¥2020-05-02 00:04:21
bobvan
ÖÁ×ðľ³æ (ÎÄ̳¾«Ó¢)
- SEPI: 1
- Ó¦Öú: 4796 (¸±½ÌÊÚ)
- ½ð±Ò: 32640.2
- É¢½ð: 20785
- ºì»¨: 351
- Ìû×Ó: 11195
- ÔÚÏß: 1517.8Сʱ
- ³æºÅ: 2171443
- ×¢²á: 2012-12-07
- רҵ: ´ß»¯»¯Ñ§
5Â¥2020-05-02 00:30:03














»Ø¸´´ËÂ¥