A direct solution to multi-objective optimization: Validation in solving the EMMS model for gas-solid fluidization | |
Zhang, Lin; Chen, Jianhua; Huang, Wenlai; Li, Jinghai | |
刊名 | CHEMICAL ENGINEERING SCIENCE |
2018-12-31 | |
卷号 | 192页码:499-506 |
关键词 | Mesoscience Emms Model Multi-objective Optimization Mathematical Equivalent Compromise In Competition |
ISSN号 | 0009-2509 |
DOI | 10.1016/j.ces.2018.07.033 |
英文摘要 | Directly solving the multi-objective optimization problem, min [(Wst)(epsilon)], in the energy-minimization multiscale (EMMS) model for gas-solid fluidization is an unsolved problem. Currently the solution is indirect based on the original stability condition, N-st = min, which is a single-objective optimization problem and deduced by combing the physical meaning of dominant mechanisms W-st = min and epsilon = min. In this work, a direct solution framework of min [(Wst)(epsilon)] in the EMMS model is performed, and the results are compared with those of N-st = min. The excellent agreement between these two schemes indicates that the proposed new framework might be promising for solving all multi-objective optimization problems that are frequently encountered in engineering study. In this framework, the impact indexes of dominant mechanisms (W-st = min and epsilon = min in the EMMS model) are first introduced under the premise that these dominant mechanisms are of equal importance. Consequently, an extremal formulation can be established, which is the mathematical equivalent to N-st = min for the EMMS model. Such an extremal expression can be adopted as a stability condition to close the mesoscale model, which seems to be an alternative of N-st = min for the EMMS model. Encouraged by its success in the gas-solid fluidization, it is being verified in more systems. (C) 2018 Elsevier Ltd. All rights reserved. |
资助项目 | National Natural Science Foundation of China[11601502] ; Beijing Natural Science Foundation[1174020] ; State Key Laboratory of Multiphase Complex Systems[MPCS-2015-A-03] |
WOS关键词 | Stability Condition ; Complex-systems ; Flow ; Competition ; Multiscale ; Compromise ; Design ; Pipe |
WOS研究方向 | Engineering |
语种 | 英语 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
WOS记录号 | WOS:000443999000041 |
资助机构 | National Natural Science Foundation of China ; Beijing Natural Science Foundation ; State Key Laboratory of Multiphase Complex Systems |
内容类型 | 期刊论文 |
源URL | [http://ir.ipe.ac.cn/handle/122111/25961] |
专题 | 中国科学院过程工程研究所 |
通讯作者 | Zhang, Lin |
作者单位 | Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Lin,Chen, Jianhua,Huang, Wenlai,et al. A direct solution to multi-objective optimization: Validation in solving the EMMS model for gas-solid fluidization[J]. CHEMICAL ENGINEERING SCIENCE,2018,192:499-506. |
APA | Zhang, Lin,Chen, Jianhua,Huang, Wenlai,&Li, Jinghai.(2018).A direct solution to multi-objective optimization: Validation in solving the EMMS model for gas-solid fluidization.CHEMICAL ENGINEERING SCIENCE,192,499-506. |
MLA | Zhang, Lin,et al."A direct solution to multi-objective optimization: Validation in solving the EMMS model for gas-solid fluidization".CHEMICAL ENGINEERING SCIENCE 192(2018):499-506. |
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