Population-distributed stochastic optimization for distillation processes: Implementation and distribution strategy
[Display omitted] •Population-distributed stochastic optimization for distillation processes.•Reduce the computing time of stochastic optimization by more than 70%.•A framework calls multiple simulators to evaluate the population in stochastic optimization.•Analyze the reason for the loss of paralle...
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| Published in: | Chemical engineering research & design Vol. 168; pp. 357 - 368 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.04.2021
Elsevier Science Ltd |
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| ISSN: | 0263-8762, 1744-3563 |
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| Abstract | [Display omitted]
•Population-distributed stochastic optimization for distillation processes.•Reduce the computing time of stochastic optimization by more than 70%.•A framework calls multiple simulators to evaluate the population in stochastic optimization.•Analyze the reason for the loss of parallel efficiency.
Stochastic optimization is inefficient, although it shows robustness against local optimum and can guarantee high-quality solutions. Parallel computation can be a promising way to improve the efficiency of stochastic optimization. However, the common environments do not support calling multiple simulators through the win32com interface, which hinders parallel computation. As a countermeasure, this study proposes a population-distributed differential evolution (DDE) framework, which combines multiple optimizers through the shared message passing medium. The framework distributes the population into groups (subpopulations) on different threads by a pool model, which can make full use of a multi-core CPU and significantly accelerate the computation. Moreover, we considered both the synchronously and asynchronously distributed differential evolution. Three case studies (benzene/toluene/xylene conventional distillation, acetone/methanol/water extractive distillation, and heat pump assisted dividing-wall column separating benzene/toluene/xylene) are optimized to show the superior performance of the DDEs. The parallel framework can reduce the computing time by ∼70% on a 4-core CPU, which is a significant improvement. DDEs cause some parallel efficiency loss, which is 5–10% and 10–20% for ADDE and SDDE, respectively. Further, based on time consumption analysis, we explain the reasons for the efficiency loss. |
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| AbstractList | Stochastic optimization is inefficient, although it shows robustness against local optimum and can guarantee high-quality solutions. Parallel computation can be a promising way to improve the efficiency of stochastic optimization. However, the common environments do not support calling multiple simulators through the win32com interface, which hinders parallel computation. As a countermeasure, this study proposes a population-distributed differential evolution (DDE) framework, which combines multiple optimizers through the shared message passing medium. The framework distributes the population into groups (subpopulations) on different threads by a pool model, which can make full use of a multi-core CPU and significantly accelerate the computation. Moreover, we considered both the synchronously and asynchronously distributed differential evolution. Three case studies (benzene/toluene/xylene conventional distillation, acetone/methanol/water extractive distillation, and heat pump assisted dividing-wall column separating benzene/toluene/xylene) are optimized to show the superior performance of the DDEs. The parallel framework can reduce the computing time by ∼70% on a 4-core CPU, which is a significant improvement. DDEs cause some parallel efficiency loss, which is 5–10% and 10–20% for ADDE and SDDE, respectively. Further, based on time consumption analysis, we explain the reasons for the efficiency loss. [Display omitted] •Population-distributed stochastic optimization for distillation processes.•Reduce the computing time of stochastic optimization by more than 70%.•A framework calls multiple simulators to evaluate the population in stochastic optimization.•Analyze the reason for the loss of parallel efficiency. Stochastic optimization is inefficient, although it shows robustness against local optimum and can guarantee high-quality solutions. Parallel computation can be a promising way to improve the efficiency of stochastic optimization. However, the common environments do not support calling multiple simulators through the win32com interface, which hinders parallel computation. As a countermeasure, this study proposes a population-distributed differential evolution (DDE) framework, which combines multiple optimizers through the shared message passing medium. The framework distributes the population into groups (subpopulations) on different threads by a pool model, which can make full use of a multi-core CPU and significantly accelerate the computation. Moreover, we considered both the synchronously and asynchronously distributed differential evolution. Three case studies (benzene/toluene/xylene conventional distillation, acetone/methanol/water extractive distillation, and heat pump assisted dividing-wall column separating benzene/toluene/xylene) are optimized to show the superior performance of the DDEs. The parallel framework can reduce the computing time by ∼70% on a 4-core CPU, which is a significant improvement. DDEs cause some parallel efficiency loss, which is 5–10% and 10–20% for ADDE and SDDE, respectively. Further, based on time consumption analysis, we explain the reasons for the efficiency loss. |
| Author | Zhang, Xiaodong Lyu, Hao Cui, Chengtian Sun, Jinsheng |
| Author_xml | – sequence: 1 givenname: Hao surname: Lyu fullname: Lyu, Hao organization: School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, P. R. China – sequence: 2 givenname: Chengtian surname: Cui fullname: Cui, Chengtian organization: School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, P. R. China – sequence: 3 givenname: Xiaodong surname: Zhang fullname: Zhang, Xiaodong organization: School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, P. R. China – sequence: 4 givenname: Jinsheng surname: Sun fullname: Sun, Jinsheng email: jssun2006@vip.163.com organization: School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, P. R. China |
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| Cites_doi | 10.1109/TGRS.2005.859347 10.1016/j.cherd.2017.07.028 10.1109/TEVC.2006.872133 10.1002/aic.690110424 10.1007/s00521-010-0364-x 10.1016/j.cep.2013.11.011 10.1016/j.compchemeng.2016.02.009 10.1016/j.cherd.2018.03.006 10.1016/j.compchemeng.2011.03.024 10.1016/j.compchemeng.2014.05.013 10.1109/TEVC.2008.927706 10.3390/pr8050508 10.1016/j.desal.2016.09.029 10.1021/acs.iecr.5b02015 10.1021/ie9006936 10.1109/TEVC.2010.2059031 10.1007/s11768-006-6178-9 10.1021/ie00023a069 10.1109/TSMCB.2005.856724 10.1252/jcej.18we164 10.1016/j.asoc.2015.04.061 10.1016/j.cherd.2017.05.030 10.1021/acs.iecr.9b02611 10.1016/j.coche.2015.08.006 10.1162/evco.2010.18.1.18102 10.1021/acs.iecr.7b03432 10.1007/BF00934810 10.1016/j.compchemeng.2016.07.015 10.1016/0098-1354(90)87085-4 10.1016/j.compchemeng.2019.106583 10.1021/ie9906520 10.1016/j.energy.2016.01.045 10.1021/acs.iecr.5b01995 10.1016/j.jare.2019.11.011 10.1016/j.cherd.2019.03.001 10.1016/S0305-0548(03)00116-3 10.1016/S0009-2509(00)00119-6 10.1016/j.compchemeng.2019.05.028 |
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| References | Cardoso, Salcedo, de Azevedo (bib0025) 2000; 55 Corbetta, Grossmann, Manenti (bib0040) 2016; 88 Bayoumy, El-Marsafy, Ahmed (bib0010) 2020; 22 Luyben, Chien (bib0120) 2010 Christopher, Dutta, Farooq (bib0035) 2017; 56 Dowling, Biegler (bib0060) 2015; 72 Cui, Zhang, Sun (bib0050) 2019; 145 Bravo-Bravo, Segovia-Hernandez, Gutierrez-Antonio (bib0015) 2010; 49 Srygley, Holland (bib0180) 1965; 11 Gong, Chen, Zhan (bib0085) 2015; 34 Geoffrion (bib0080) 1972; 10 Kiss, Rewagad (bib0105) 2011 Roy, Lee, Welch (bib0165) 2009 Lyu, Li, Cui (bib0125) 2021; 257 Viswanathan, Grossmann (bib0190) 1993; 32 Skiborowski, Rautenberg, Marquardt (bib0175) 2015; 54 Rangaiah, Sharma, Lin (bib0155) 2017; 124 Qing (bib0145) 2006; 44 Viswanathan, Grossmann (bib0185) 1990; 14 Long, Qyyum, Qadeer (bib0115) 2019; 52 Zielinski, Laur (bib0220) 2008 Brest, Greiner, Boskovic (bib0020) 2006; 10 Jia, Qian, Yuan (bib0095) 2017; 125 Ma, Shao, Chen (bib0130) 2016; 93 Zhang, He, Cui (bib0215) 2020; 227 Ali, Torn (bib0005) 2004; 31 Costa, Bagajewicz (bib0045) 2019; 58 Khazraee, Jahanmiri, Ghorayshi (bib0100) 2011; 20 You, Rodriguez-Donis, Gerbaud (bib0205) 2015; 54 Zhang, Luo, Yuan (bib0210) 2019; 127 Rangaiah, Sharma, Sreepathi (bib0150) 2015; 10 Qin, Huang, Suganthan (bib0140) 2009; 13 Ibrahim, Jobson, Li (bib0090) 2018; 134 Chew, Reddy, Rangaiah (bib0030) 2014 Franke (bib0070) 2017; 89 Lashkajani, Ghorbani, Amidpour (bib0110) 2016; 99 Rangaiah, Feng, Hoadley (bib0160) 2020; 8 Franke (bib0075) 2019; 131 Sadri, Ameri, Khoshkhoo (bib0170) 2016; 402 Dubreuil, Gagne, Parizeau (bib0065) 2006; 36 Molina, Lozano, Garcia-Martinez (bib0135) 2014; 18 Das, Suganthan (bib0055) 2011; 15 Yeomans, Grossmann (bib0200) 2000; 39 Wu, Wang, Zhou (bib0195) 2007; 5 Dubreuil (10.1016/j.cherd.2021.02.023_bib0065) 2006; 36 Kiss (10.1016/j.cherd.2021.02.023_bib0105) 2011 Roy (10.1016/j.cherd.2021.02.023_bib0165) 2009 Ma (10.1016/j.cherd.2021.02.023_bib0130) 2016; 93 Christopher (10.1016/j.cherd.2021.02.023_bib0035) 2017; 56 Zielinski (10.1016/j.cherd.2021.02.023_bib0220) 2008 Srygley (10.1016/j.cherd.2021.02.023_bib0180) 1965; 11 Bravo-Bravo (10.1016/j.cherd.2021.02.023_bib0015) 2010; 49 Lyu (10.1016/j.cherd.2021.02.023_bib0125) 2021; 257 Cardoso (10.1016/j.cherd.2021.02.023_bib0025) 2000; 55 Lashkajani (10.1016/j.cherd.2021.02.023_bib0110) 2016; 99 Ibrahim (10.1016/j.cherd.2021.02.023_bib0090) 2018; 134 Cui (10.1016/j.cherd.2021.02.023_bib0050) 2019; 145 Geoffrion (10.1016/j.cherd.2021.02.023_bib0080) 1972; 10 Viswanathan (10.1016/j.cherd.2021.02.023_bib0185) 1990; 14 You (10.1016/j.cherd.2021.02.023_bib0205) 2015; 54 Skiborowski (10.1016/j.cherd.2021.02.023_bib0175) 2015; 54 Franke (10.1016/j.cherd.2021.02.023_bib0070) 2017; 89 Long (10.1016/j.cherd.2021.02.023_bib0115) 2019; 52 Qin (10.1016/j.cherd.2021.02.023_bib0140) 2009; 13 Wu (10.1016/j.cherd.2021.02.023_bib0195) 2007; 5 Gong (10.1016/j.cherd.2021.02.023_bib0085) 2015; 34 Rangaiah (10.1016/j.cherd.2021.02.023_bib0150) 2015; 10 Sadri (10.1016/j.cherd.2021.02.023_bib0170) 2016; 402 Das (10.1016/j.cherd.2021.02.023_bib0055) 2011; 15 Chew (10.1016/j.cherd.2021.02.023_bib0030) 2014 Molina (10.1016/j.cherd.2021.02.023_bib0135) 2014; 18 Viswanathan (10.1016/j.cherd.2021.02.023_bib0190) 1993; 32 Zhang (10.1016/j.cherd.2021.02.023_bib0210) 2019; 127 Ali (10.1016/j.cherd.2021.02.023_bib0005) 2004; 31 Brest (10.1016/j.cherd.2021.02.023_bib0020) 2006; 10 Rangaiah (10.1016/j.cherd.2021.02.023_bib0155) 2017; 124 Yeomans (10.1016/j.cherd.2021.02.023_bib0200) 2000; 39 Bayoumy (10.1016/j.cherd.2021.02.023_bib0010) 2020; 22 Franke (10.1016/j.cherd.2021.02.023_bib0075) 2019; 131 Zhang (10.1016/j.cherd.2021.02.023_bib0215) 2020; 227 Luyben (10.1016/j.cherd.2021.02.023_bib0120) 2010 Dowling (10.1016/j.cherd.2021.02.023_bib0060) 2015; 72 Rangaiah (10.1016/j.cherd.2021.02.023_bib0160) 2020; 8 Jia (10.1016/j.cherd.2021.02.023_bib0095) 2017; 125 Costa (10.1016/j.cherd.2021.02.023_bib0045) 2019; 58 Corbetta (10.1016/j.cherd.2021.02.023_bib0040) 2016; 88 Khazraee (10.1016/j.cherd.2021.02.023_bib0100) 2011; 20 Qing (10.1016/j.cherd.2021.02.023_bib0145) 2006; 44 |
| References_xml | – volume: 89 start-page: 1 year: 2017 end-page: 17 ident: bib0070 article-title: Design of dividing-wall columns by mixed-integer nonlinear programming optimization publication-title: Chemie Ingenieur Technik – start-page: 1177 year: 2009 end-page: 1184 ident: bib0165 article-title: A distributed pool architecture for genetic algorithms publication-title: IEEE Congress on Evolutionary Computation (CEC) – volume: 14 start-page: 769 year: 1990 end-page: 782 ident: bib0185 article-title: A combined penalty function and outer-approximation method for MINLP optimization publication-title: Comput. Chem. Eng. – volume: 134 start-page: 212 year: 2018 end-page: 225 ident: bib0090 article-title: Optimization-based design of crude oil distillation units using surrogate column models and a support vector machine publication-title: Chem. Eng. Res. Des. – volume: 93 start-page: 309 year: 2016 end-page: 322 ident: bib0130 article-title: A parallel function evaluation approach for solution to large-scale equation-oriented models publication-title: Comput. Chem. Eng. – volume: 124 start-page: 58 year: 2017 end-page: 65 ident: bib0155 article-title: Evaluation of two termination criteria in evolutionary algorithms for multi-objective optimization of complex chemical processes publication-title: Chem. Eng. Res. Des. – volume: 32 start-page: 2942 year: 1993 end-page: 2949 ident: bib0190 article-title: Optimal feed locations and number of trays for distillation columns with multiple feeds publication-title: Ind. Eng. Chem. Res. – volume: 34 start-page: 286 year: 2015 end-page: 300 ident: bib0085 article-title: Distributed evolutionary algorithms and their models: a survey of the state-of-the-art publication-title: Appl. Soft Comput. – volume: 88 start-page: 73 year: 2016 end-page: 85 ident: bib0040 article-title: Process simulator-based optimization of biorefinery downstream processes under the generalized disjunctive programming framework publication-title: Comput. Chem. Eng. – volume: 127 start-page: 158 year: 2019 end-page: 174 ident: bib0210 article-title: Synthesis of simultaneously heat integrated and thermally coupled nonsharp distillation sequences based on stochastic optimization publication-title: Comput. Chem. Eng. – volume: 131 start-page: 106583 year: 2019 ident: bib0075 article-title: Mixed-integer optimization of distillation sequences with Aspen plus: a practical approach publication-title: Comput. Chem. Eng. – year: 2010 ident: bib0120 article-title: Design and Control of Distillation Systems for Separating Azeotropes – volume: 44 start-page: 116 year: 2006 end-page: 125 ident: bib0145 article-title: Dynamic differential evolution strategy and applications in electromagnetic inverse scattering problems publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 99 start-page: 288 year: 2016 end-page: 303 ident: bib0110 article-title: Superstructure optimization of the olefin separation system by harmony search and genetic algorithms publication-title: Energy – volume: 49 start-page: 3672 year: 2010 end-page: 3688 ident: bib0015 article-title: Extractive dividing wall column: design and optimization publication-title: Ind. Eng. Chem. Res. – volume: 52 start-page: 333 year: 2019 end-page: 341 ident: bib0115 article-title: Particle swarm optimization methodology for optimal distillation retrofit publication-title: J. Chem. Eng. Jpn. – volume: 13 start-page: 398 year: 2009 end-page: 417 ident: bib0140 article-title: Differential evolution algorithm with strategy adaptation for global numerical optimization publication-title: IEEE Trans. Evol. Comput. – volume: 11 start-page: 695 year: 1965 end-page: 701 ident: bib0180 article-title: Optimum design of conventional and complex distillation columns publication-title: AIChE J. – volume: 20 start-page: 239 year: 2011 end-page: 248 ident: bib0100 article-title: Model reduction and optimization of reactive batch distillation based on the adaptive neuro-fuzzy inference system and differential evolution publication-title: Neural Comput. Appl. – start-page: 2896 year: 2011 end-page: 2904 ident: bib0105 article-title: Energy efficient control of a BTX dividing-wall column publication-title: Comput. Chem. Eng. – volume: 54 start-page: 10054 year: 2015 end-page: 10072 ident: bib0175 article-title: A hybrid evolutionary-deterministic optimization approach for conceptual design publication-title: Ind. Eng. Chem. Res. – volume: 5 start-page: 365 year: 2007 end-page: 373 ident: bib0195 article-title: Self-adapting control parameters modified differential evolution for trajectory planning of manipulators publication-title: Control Theory Appl. – volume: 8 start-page: 508 year: 2020 end-page: 540 ident: bib0160 article-title: Multi-objective optimization applications in chemical process engineering: tutorial and review publication-title: Processes – volume: 54 start-page: 10863 year: 2015 end-page: 10875 ident: bib0205 article-title: Investigation of separation efficiency indicator for the optimization of the acetone–methanol extractive distillation with water publication-title: Ind. Eng. Chem. Res. – volume: 125 start-page: 422 year: 2017 end-page: 432 ident: bib0095 article-title: Optimal design for dividing wall column using support vector machine and particle swarm optimization publication-title: Chem. Eng. Res. Des. – volume: 18 start-page: 27 year: 2014 end-page: 63 ident: bib0135 article-title: Memetic algorithms for continuous optimisation based on local search chains publication-title: Evol. Comput. – volume: 31 start-page: 1703 year: 2004 end-page: 1725 ident: bib0005 article-title: Population set-based global optimization algorithms: some modifications and numerical studies publication-title: Comput. Oper. Res. – volume: 10 start-page: 646 year: 2006 end-page: 657 ident: bib0020 article-title: Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems publication-title: IEEE Trans. Evol. Comput. – volume: 72 start-page: 3 year: 2015 end-page: 20 ident: bib0060 article-title: A framework for efficient large scale equation-oriented flowsheet optimization publication-title: Comput. Chem. Eng. – volume: 55 start-page: 5059 year: 2000 end-page: 5078 ident: bib0025 article-title: Optimization of reactive distillation processes with simulated annealing publication-title: Chem. Eng. Sci. – volume: 145 start-page: 48 year: 2019 end-page: 52 ident: bib0050 article-title: Design and optimization of energy-efficient liquid-only side-stream distillation configurations using stochastic algorithm publication-title: Chem. Eng. Res. Des. – volume: 15 start-page: 4 year: 2011 end-page: 31 ident: bib0055 article-title: Differential evolution: a survey of the state-of-the-art publication-title: IEEE Trans. Evol. Comput. – volume: 227 year: 2020 ident: bib0215 article-title: A systematic process synthesis method towards sustainable extractive distillation processes with pre-concentration for separating the binary minimum azeotropes publication-title: Chem. Eng. Sci. – volume: 10 start-page: 237 year: 1972 end-page: 262 ident: bib0080 article-title: Generalized benders decomposition publication-title: J. Optim. Theory Appl. – volume: 257 year: 2021 ident: bib0125 article-title: Superstructure modeling and stochastic optimization of side-stream extractive distillation processes for the industrial separation of benzene/cyclohexane/cyclohexene publication-title: Sep. Purif. Technol. – volume: 36 start-page: 229 year: 2006 end-page: 235 ident: bib0065 article-title: Analysis of a master-slave architecture for distributed evolutionary computations publication-title: IEEE Trans. Syst. Man Cybern. B Cybern. – volume: 58 start-page: 18684 year: 2019 end-page: 18702 ident: bib0045 article-title: 110th Anniversary: on the departure from heuristics and simplified models toward globally optimal design of process equipment publication-title: Ind. Eng. Chem. Res. – volume: 10 start-page: 49 year: 2015 end-page: 62 ident: bib0150 article-title: Multi-objective optimization for the design and operation of energy efficient chemical processes and power generation publication-title: Curr. Opin. Chem. Eng. – start-page: 45 year: 2014 end-page: 59 ident: bib0030 article-title: Improving energy efficiency of dividing-wall columns using heat pumps, organic rankine cycle and Kalina cycle publication-title: Chem. Eng. Process. Process. Intensif. – start-page: 111 year: 2008 end-page: 138 ident: bib0220 article-title: Stopping Criteria for Differential Evolution in Constrained Single-Objective Optimization. Advances in Differential Evolution – volume: 402 start-page: 97 year: 2016 end-page: 108 ident: bib0170 article-title: Multi-objective optimization of MED-TVC-RO hybrid desalination system based on the irreversibility concept publication-title: Desalination – volume: 39 start-page: 1637 year: 2000 end-page: 1648 ident: bib0200 article-title: Disjunctive programming models for the optimal design of distillation columns and separation sequences publication-title: Ind. Eng. Chem. Res. – volume: 56 start-page: 14557 year: 2017 end-page: 14564 ident: bib0035 article-title: Process synthesis and optimization of propylene/propane separation using vapor recompression and self-heat recuperation publication-title: Ind. Eng. Chem. Res. – volume: 22 start-page: 21 year: 2020 end-page: 33 ident: bib0010 article-title: Optimization of a saturated gas plant: meticulous simulation-based optimization—a case study publication-title: J. Adv. Res. – volume: 44 start-page: 116 issue: 1 year: 2006 ident: 10.1016/j.cherd.2021.02.023_bib0145 article-title: Dynamic differential evolution strategy and applications in electromagnetic inverse scattering problems publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2005.859347 – start-page: 111 year: 2008 ident: 10.1016/j.cherd.2021.02.023_bib0220 – volume: 125 start-page: 422 year: 2017 ident: 10.1016/j.cherd.2021.02.023_bib0095 article-title: Optimal design for dividing wall column using support vector machine and particle swarm optimization publication-title: Chem. Eng. Res. Des. doi: 10.1016/j.cherd.2017.07.028 – volume: 10 start-page: 646 issue: 6 year: 2006 ident: 10.1016/j.cherd.2021.02.023_bib0020 article-title: Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2006.872133 – volume: 11 start-page: 695 issue: 4 year: 1965 ident: 10.1016/j.cherd.2021.02.023_bib0180 article-title: Optimum design of conventional and complex distillation columns publication-title: AIChE J. doi: 10.1002/aic.690110424 – volume: 20 start-page: 239 issue: 2 year: 2011 ident: 10.1016/j.cherd.2021.02.023_bib0100 article-title: Model reduction and optimization of reactive batch distillation based on the adaptive neuro-fuzzy inference system and differential evolution publication-title: Neural Comput. Appl. doi: 10.1007/s00521-010-0364-x – start-page: 45 issue: 76 year: 2014 ident: 10.1016/j.cherd.2021.02.023_bib0030 article-title: Improving energy efficiency of dividing-wall columns using heat pumps, organic rankine cycle and Kalina cycle publication-title: Chem. Eng. Process. Process. Intensif. doi: 10.1016/j.cep.2013.11.011 – volume: 88 start-page: 73 year: 2016 ident: 10.1016/j.cherd.2021.02.023_bib0040 article-title: Process simulator-based optimization of biorefinery downstream processes under the generalized disjunctive programming framework publication-title: Comput. Chem. Eng. doi: 10.1016/j.compchemeng.2016.02.009 – volume: 134 start-page: 212 year: 2018 ident: 10.1016/j.cherd.2021.02.023_bib0090 article-title: Optimization-based design of crude oil distillation units using surrogate column models and a support vector machine publication-title: Chem. Eng. Res. Des. doi: 10.1016/j.cherd.2018.03.006 – start-page: 2896 issue: 35 year: 2011 ident: 10.1016/j.cherd.2021.02.023_bib0105 article-title: Energy efficient control of a BTX dividing-wall column publication-title: Comput. Chem. Eng. doi: 10.1016/j.compchemeng.2011.03.024 – volume: 257 issue: 15 year: 2021 ident: 10.1016/j.cherd.2021.02.023_bib0125 article-title: Superstructure modeling and stochastic optimization of side-stream extractive distillation processes for the industrial separation of benzene/cyclohexane/cyclohexene publication-title: Sep. Purif. Technol. – volume: 72 start-page: 3 year: 2015 ident: 10.1016/j.cherd.2021.02.023_bib0060 article-title: A framework for efficient large scale equation-oriented flowsheet optimization publication-title: Comput. Chem. Eng. doi: 10.1016/j.compchemeng.2014.05.013 – volume: 13 start-page: 398 issue: 2 year: 2009 ident: 10.1016/j.cherd.2021.02.023_bib0140 article-title: Differential evolution algorithm with strategy adaptation for global numerical optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2008.927706 – volume: 8 start-page: 508 issue: 5 year: 2020 ident: 10.1016/j.cherd.2021.02.023_bib0160 article-title: Multi-objective optimization applications in chemical process engineering: tutorial and review publication-title: Processes doi: 10.3390/pr8050508 – volume: 402 start-page: 97 year: 2016 ident: 10.1016/j.cherd.2021.02.023_bib0170 article-title: Multi-objective optimization of MED-TVC-RO hybrid desalination system based on the irreversibility concept publication-title: Desalination doi: 10.1016/j.desal.2016.09.029 – volume: 54 start-page: 10863 issue: 43 year: 2015 ident: 10.1016/j.cherd.2021.02.023_bib0205 article-title: Investigation of separation efficiency indicator for the optimization of the acetone–methanol extractive distillation with water publication-title: Ind. Eng. Chem. Res. doi: 10.1021/acs.iecr.5b02015 – volume: 49 start-page: 3672 issue: 8 year: 2010 ident: 10.1016/j.cherd.2021.02.023_bib0015 article-title: Extractive dividing wall column: design and optimization publication-title: Ind. Eng. Chem. Res. doi: 10.1021/ie9006936 – volume: 15 start-page: 4 issue: 1 year: 2011 ident: 10.1016/j.cherd.2021.02.023_bib0055 article-title: Differential evolution: a survey of the state-of-the-art publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2010.2059031 – volume: 89 start-page: 1 issue: 2 year: 2017 ident: 10.1016/j.cherd.2021.02.023_bib0070 article-title: Design of dividing-wall columns by mixed-integer nonlinear programming optimization publication-title: Chemie Ingenieur Technik – year: 2010 ident: 10.1016/j.cherd.2021.02.023_bib0120 – volume: 5 start-page: 365 issue: 4 year: 2007 ident: 10.1016/j.cherd.2021.02.023_bib0195 article-title: Self-adapting control parameters modified differential evolution for trajectory planning of manipulators publication-title: Control Theory Appl. doi: 10.1007/s11768-006-6178-9 – volume: 32 start-page: 2942 year: 1993 ident: 10.1016/j.cherd.2021.02.023_bib0190 article-title: Optimal feed locations and number of trays for distillation columns with multiple feeds publication-title: Ind. Eng. Chem. Res. doi: 10.1021/ie00023a069 – volume: 36 start-page: 229 issue: 1 year: 2006 ident: 10.1016/j.cherd.2021.02.023_bib0065 article-title: Analysis of a master-slave architecture for distributed evolutionary computations publication-title: IEEE Trans. Syst. Man Cybern. B Cybern. doi: 10.1109/TSMCB.2005.856724 – volume: 52 start-page: 333 issue: 4 year: 2019 ident: 10.1016/j.cherd.2021.02.023_bib0115 article-title: Particle swarm optimization methodology for optimal distillation retrofit publication-title: J. Chem. Eng. Jpn. doi: 10.1252/jcej.18we164 – volume: 34 start-page: 286 year: 2015 ident: 10.1016/j.cherd.2021.02.023_bib0085 article-title: Distributed evolutionary algorithms and their models: a survey of the state-of-the-art publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2015.04.061 – volume: 124 start-page: 58 year: 2017 ident: 10.1016/j.cherd.2021.02.023_bib0155 article-title: Evaluation of two termination criteria in evolutionary algorithms for multi-objective optimization of complex chemical processes publication-title: Chem. Eng. Res. Des. doi: 10.1016/j.cherd.2017.05.030 – volume: 58 start-page: 18684 issue: 40 year: 2019 ident: 10.1016/j.cherd.2021.02.023_bib0045 article-title: 110th Anniversary: on the departure from heuristics and simplified models toward globally optimal design of process equipment publication-title: Ind. Eng. Chem. Res. doi: 10.1021/acs.iecr.9b02611 – volume: 10 start-page: 49 year: 2015 ident: 10.1016/j.cherd.2021.02.023_bib0150 article-title: Multi-objective optimization for the design and operation of energy efficient chemical processes and power generation publication-title: Curr. Opin. Chem. Eng. doi: 10.1016/j.coche.2015.08.006 – volume: 18 start-page: 27 issue: 1 year: 2014 ident: 10.1016/j.cherd.2021.02.023_bib0135 article-title: Memetic algorithms for continuous optimisation based on local search chains publication-title: Evol. Comput. doi: 10.1162/evco.2010.18.1.18102 – volume: 56 start-page: 14557 issue: 49 year: 2017 ident: 10.1016/j.cherd.2021.02.023_bib0035 article-title: Process synthesis and optimization of propylene/propane separation using vapor recompression and self-heat recuperation publication-title: Ind. Eng. Chem. Res. doi: 10.1021/acs.iecr.7b03432 – volume: 10 start-page: 237 issue: 4 year: 1972 ident: 10.1016/j.cherd.2021.02.023_bib0080 article-title: Generalized benders decomposition publication-title: J. Optim. Theory Appl. doi: 10.1007/BF00934810 – volume: 93 start-page: 309 year: 2016 ident: 10.1016/j.cherd.2021.02.023_bib0130 article-title: A parallel function evaluation approach for solution to large-scale equation-oriented models publication-title: Comput. Chem. Eng. doi: 10.1016/j.compchemeng.2016.07.015 – volume: 14 start-page: 769 issue: 7 year: 1990 ident: 10.1016/j.cherd.2021.02.023_bib0185 article-title: A combined penalty function and outer-approximation method for MINLP optimization publication-title: Comput. Chem. Eng. doi: 10.1016/0098-1354(90)87085-4 – volume: 131 start-page: 106583 issue: 5 year: 2019 ident: 10.1016/j.cherd.2021.02.023_bib0075 article-title: Mixed-integer optimization of distillation sequences with Aspen plus: a practical approach publication-title: Comput. Chem. Eng. doi: 10.1016/j.compchemeng.2019.106583 – volume: 39 start-page: 1637 issue: 6 year: 2000 ident: 10.1016/j.cherd.2021.02.023_bib0200 article-title: Disjunctive programming models for the optimal design of distillation columns and separation sequences publication-title: Ind. Eng. Chem. Res. doi: 10.1021/ie9906520 – volume: 99 start-page: 288 year: 2016 ident: 10.1016/j.cherd.2021.02.023_bib0110 article-title: Superstructure optimization of the olefin separation system by harmony search and genetic algorithms publication-title: Energy doi: 10.1016/j.energy.2016.01.045 – volume: 54 start-page: 10054 issue: 41 year: 2015 ident: 10.1016/j.cherd.2021.02.023_bib0175 article-title: A hybrid evolutionary-deterministic optimization approach for conceptual design publication-title: Ind. Eng. Chem. Res. doi: 10.1021/acs.iecr.5b01995 – volume: 22 start-page: 21 year: 2020 ident: 10.1016/j.cherd.2021.02.023_bib0010 article-title: Optimization of a saturated gas plant: meticulous simulation-based optimization—a case study publication-title: J. Adv. Res. doi: 10.1016/j.jare.2019.11.011 – volume: 145 start-page: 48 year: 2019 ident: 10.1016/j.cherd.2021.02.023_bib0050 article-title: Design and optimization of energy-efficient liquid-only side-stream distillation configurations using stochastic algorithm publication-title: Chem. Eng. Res. Des. doi: 10.1016/j.cherd.2019.03.001 – start-page: 1177 year: 2009 ident: 10.1016/j.cherd.2021.02.023_bib0165 article-title: A distributed pool architecture for genetic algorithms publication-title: IEEE Congress on Evolutionary Computation (CEC) – volume: 31 start-page: 1703 year: 2004 ident: 10.1016/j.cherd.2021.02.023_bib0005 article-title: Population set-based global optimization algorithms: some modifications and numerical studies publication-title: Comput. Oper. Res. doi: 10.1016/S0305-0548(03)00116-3 – volume: 55 start-page: 5059 issue: 21 year: 2000 ident: 10.1016/j.cherd.2021.02.023_bib0025 article-title: Optimization of reactive distillation processes with simulated annealing publication-title: Chem. Eng. Sci. doi: 10.1016/S0009-2509(00)00119-6 – volume: 127 start-page: 158 year: 2019 ident: 10.1016/j.cherd.2021.02.023_bib0210 article-title: Synthesis of simultaneously heat integrated and thermally coupled nonsharp distillation sequences based on stochastic optimization publication-title: Comput. Chem. Eng. doi: 10.1016/j.compchemeng.2019.05.028 – volume: 227 issue: 14 year: 2020 ident: 10.1016/j.cherd.2021.02.023_bib0215 article-title: A systematic process synthesis method towards sustainable extractive distillation processes with pre-concentration for separating the binary minimum azeotropes publication-title: Chem. Eng. Sci. |
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| SubjectTerms | Benzene Computing time Distillation Distillation process optimization Distilled water Efficiency Evolutionary computation Heat pumps Heat transfer Message passing Optimization Parallel processing Parallel/distributed algorithm Pool model Population-distributed stochastic optimization Pumps Robustness (mathematics) Simulators Stochastic models Studies Toluene Vacuum distillation Xylene |
| Title | Population-distributed stochastic optimization for distillation processes: Implementation and distribution strategy |
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