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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
2018-12-31
Source PublicationCHEMICAL ENGINEERING SCIENCE
ISSN0009-2509
Volume192Pages:499-506
Abstract

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.

KeywordMesoscience Emms Model Multi-objective Optimization Mathematical Equivalent Compromise In Competition
DOI10.1016/j.ces.2018.07.033
Language英语
WOS KeywordStability Condition ; Complex-systems ; Flow ; Competition ; Multiscale ; Compromise ; Design ; Pipe
Funding ProjectNational Natural Science Foundation of China[11601502] ; Beijing Natural Science Foundation[1174020] ; State Key Laboratory of Multiphase Complex Systems[MPCS-2015-A-03]
WOS Research AreaEngineering
WOS SubjectEngineering, Chemical
Funding OrganizationNational Natural Science Foundation of China ; Beijing Natural Science Foundation ; State Key Laboratory of Multiphase Complex Systems
WOS IDWOS:000443999000041
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/25962
Collection中国科学院过程工程研究所
Corresponding AuthorZhang, Lin
AffiliationChinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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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