| ²é¿´: 590 | »Ø¸´: 1 | ||
nandehutu9327ÖÁ×ðľ³æ (Ö°Òµ×÷¼Ò)
|
[ÇóÖú]
Çó°ïÖú²éѯÂÛÎÄÊÇ·ñÒѱ»SCIÊÕ¼£¬Ð»Ð»£¡ ÒÑÓÐ1È˲ÎÓë
|
|
Çó°ïÖú²éѯÂÛÎÄÊÇ·ñÒѱ»SCIÊÕ¼£¬Ð»Ð»£¡ Multi-objective optimization of a continuous bio-dissimilation process of glycerol to 1,3-propanediol |
» ²ÂÄãϲ»¶
µ÷¼Á
ÒѾÓÐ17È˻ظ´
347²ÄÁÏר˶Çóµ÷¼Á
ÒѾÓÐ15È˻ظ´
Çó¿¼ÑвÄÁϵ÷¼Á
ÒѾÓÐ3È˻ظ´
ÉúÎïѧ308·ÖÇóµ÷¼Á£¨Ò»Ö¾Ô¸»ª¶«Ê¦´ó£©×ö¹ý·Ö×ÓʵÑé
ÒѾÓÐ6È˻ظ´
¼ÆËã»ú408£üÔÚУ¶à´Î¹ú¼Ò¼¶¾ºÈü»ñ½±£üÉêÇëµ÷¼Á
ÒѾÓÐ4È˻ظ´
388Çóµ÷¼Á
ÒѾÓÐ8È˻ظ´
288Çóµ÷¼Á
ÒѾÓÐ12È˻ظ´
Çóµ÷¼Á
ÒѾÓÐ29È˻ظ´
266µ÷¼Á
ÒѾÓÐ6È˻ظ´
304Çóµ÷¼Á
ÒѾÓÐ12È˻ظ´
liouzhan654
°æÖ÷ (ÖªÃû×÷¼Ò)
- Ó¦Öú: 798 (²©ºó)
- ¹ó±ö: 5.504
- ½ð±Ò: 53654.6
- É¢½ð: 5660
- ºì»¨: 182
- ɳ·¢: 8
- Ìû×Ó: 9431
- ÔÚÏß: 2139.6Сʱ
- ³æºÅ: 2048939
- ×¢²á: 2012-10-08
- ÐÔ±ð: GG
- רҵ: ´«ÈÈ´«ÖÊѧ
- ¹ÜϽ: ÂÛÎÄͶ¸å
¡¾´ð°¸¡¿Ó¦Öú»ØÌû
¡ï ¡ï ¡ï ¡ï ¡ï ¡ï ¡ï ¡ï ¡ï ¡ï
¸Ðл²ÎÓ룬ӦÖúÖ¸Êý +1
nandehutu9327: ½ð±Ò+10, ¡ï¡ï¡ï¡ï¡ï×î¼Ñ´ð°¸, ¶àл£¡ 2016-03-17 21:57:53
¸Ðл²ÎÓ룬ӦÖúÖ¸Êý +1
nandehutu9327: ½ð±Ò+10, ¡ï¡ï¡ï¡ï¡ï×î¼Ñ´ð°¸, ¶àл£¡ 2016-03-17 21:57:53
|
¹§Ï²Ä㣬ÒѾ±»SCIÊÕ¼ Multi-objective optimization of a continuous bio-dissimilation process of glycerol to 1, 3-propanediol ×÷Õß:Xu, GX (Xu, Gongxian)[ 1 ] ; Liu, Y (Liu, Ying)[ 1 ] ; Gao, QW (Gao, Qunwang)[ 1 ] JOURNAL OF BIOTECHNOLOGY ¾í: 219 Ò³: 59-71 DOI: 10.1016/j.jbiotec.2015.12.014 ³ö°æÄê: FEB 10 2016 ²é¿´ÆÚ¿¯ÐÅÏ¢ ÕªÒª This paper deals with multi-objective optimization of continuous bio-dissimilation process of glycerol to 1, 3-propanediol. In order to maximize the production rate of 1, 3-propanediol, maximize the conversion rate of glycerol to 1, 3-propanediol, maximize the conversion rate of glycerol, and minimize the concentration of by-product ethanol, we first propose six new multi-objective optimization models that can simultaneously optimize any two of the four objectives above. Then these multi-objective optimization problems are solved by using the weighted-sum and normal-boundary intersection methods respectively. Both the Pareto filter algorithm and removal criteria are used to remove those non-Pareto optimal points obtained by the normal-boundary intersection method. The results show that the normal-boundary intersection method can successfully obtain the approximate Pareto optimal sets of all the proposed multi-objective optimization problems, while the weighted-sum approach cannot achieve the overall Pareto optimal solutions of some multi-objective problems. (C) 2015 Elsevier B.V. All rights reserved. ¹Ø¼ü´Ê ×÷Õ߹ؼü´Ê:Multi-objective optimization; Bio-dissimilation process; Continuous bioprocess; Normal-boundary intersection method; Weighted-sum method KeyWords Plus:NORMAL-BOUNDARY INTERSECTION; MICROBIAL CONTINUOUS-CULTURE; NORMALIZED NORMAL CONSTRAINT; MULTICRITERIA OPTIMIZATION; KLEBSIELLA-PNEUMONIAE; BATCH CULTURE; 1,3-PROPANEDIOL; ALGORITHM; IDENTIFICATION; FERMENTATION ×÷ÕßÐÅÏ¢ ͨѶ×÷ÕßµØÖ·: Xu, GX (ͨѶ×÷Õß) ÏÔʾÔöÇ¿×éÖ¯ÐÅÏ¢µÄÃû³Æ Bohai Univ, Dept Math, Jinzhou 121013, Peoples R China. µØÖ·: ÏÔʾÔöÇ¿×éÖ¯ÐÅÏ¢µÄÃû³Æ [ 1 ] Bohai Univ, Dept Math, Jinzhou 121013, Peoples R China µç×ÓÓʼþµØÖ·:gxxu@bhu.edu.cn »ù½ð×ÊÖúÖÂл »ù½ð×ÊÖú»ú¹¹ ÊÚȨºÅ National Natural Science Foundation of China 11101051 Liaoning Provincial Natural Science Foundation of China 2015020038 Program for Liaoning Excellent Talents in University LJQ2013115 ²é¿´»ù½ð×ÊÖúÐÅÏ¢ ³ö°æÉÌ ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS Àà±ð / ·ÖÀà Ñо¿·½Ïò:Biotechnology & Applied Microbiology Web of Science Àà±ð:Biotechnology & Applied Microbiology ÎÄÏ×ÐÅÏ¢ ÎÄÏ×ÀàÐÍ:Article ÓïÖÖ:English Èë²ØºÅ: WOS:000369370800015 PubMed ID: 26704728 ISSN: 0168-1656 eISSN: 1873-4863 ÆÚ¿¯ÐÅÏ¢ Impact Factor (Ó°ÏìÒò×Ó): Journal Citation Reports® ÆäËûÐÅÏ¢ IDS ºÅ: DC7AN Web of Science ºËÐĺϼ¯ÖÐµÄ "ÒýÓõIJο¼ÎÄÏ×": 32 Web of Science ºËÐĺϼ¯ÖÐµÄ "±»ÒýƵ´Î": 0 |

2Â¥2016-03-17 21:46:05














»Ø¸´´ËÂ¥