Skip to main content
Top

2018 | OriginalPaper | Chapter

Collaborative Firefly Algorithm for Solving Dynamic Control Model of Chemical Reaction Process System

Authors : Yuanbin Mo, Yanyue Lu, Yanzhui Ma

Published in: Advances in Swarm Intelligence

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Chemical reaction system, dynamic operation can significantly increase the average rate of reaction, improve the time-average selectivity of complex reactions and enhance the molecular weight distribution of certain free-radical polymerization reactions, overcome the thermodynamic limitations of reversible reactions. It even can be used as integrated means of exothermic/endothermic reaction and catalytic reaction/catalyst regeneration, opens up new ways to strengthen and control the reaction process, reduce waste emissions, and increase economic and social benefits. Therefore, it has great significance to model, simulate and calculate the process of chemical reaction. In this paper, a cooperative firefly algorithm is proposed to solve the optimal dynamic model of chemical reaction. The characteristics of the proposed algorithm are analyzed in detailed and the simulation results of the algorithm are given. It provides a feasible solution to solve such problems and the simulation results also show the effectiveness of the proposed algorithm.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Matros, Y.S.: Unsteady-state Processes in Catalytic Reactor. Li Chengyue, Yan Zequn, trans. Science Press, Beijing, October 1994 Matros, Y.S.: Unsteady-state Processes in Catalytic Reactor. Li Chengyue, Yan Zequn, trans. Science Press, Beijing, October 1994
2.
go back to reference Huang, Z., Wu, G.: Catalytic reaction processes and mechanism under forced oscillation. Chem. Eng. Prog. (5), 10–15 (1987) Huang, Z., Wu, G.: Catalytic reaction processes and mechanism under forced oscillation. Chem. Eng. Prog. (5), 10–15 (1987)
3.
go back to reference Gong, X.: Computation Method for Optimal Control Problem. Science Press, Beijing (1979) Gong, X.: Computation Method for Optimal Control Problem. Science Press, Beijing (1979)
4.
go back to reference Zhong, H.: Mathematical Method of Optimal Control and Its Application. Jiangsu Science and Technology Press, Nanjing (1982) Zhong, H.: Mathematical Method of Optimal Control and Its Application. Jiangsu Science and Technology Press, Nanjing (1982)
5.
go back to reference Xiao, J., Zhou, Z.: Application of Ant colony optimization in beer fermentation control. Inf. Control 33(4), 508–512 (2004) Xiao, J., Zhou, Z.: Application of Ant colony optimization in beer fermentation control. Inf. Control 33(4), 508–512 (2004)
6.
go back to reference Xu, F., Luo, X.: Mathematical description of dynamic analysis and control design of catalytic cracker regenerator based on dynamic optimization (I) dynamic optimization. J. Chem, Ind. Eng. 60(3), 675–682 (2009) Xu, F., Luo, X.: Mathematical description of dynamic analysis and control design of catalytic cracker regenerator based on dynamic optimization (I) dynamic optimization. J. Chem, Ind. Eng. 60(3), 675–682 (2009)
7.
go back to reference Yang, X.S.: Nature-inspired Metaheuristic Algorithms. Luniver Press (2008) Yang, X.S.: Nature-inspired Metaheuristic Algorithms. Luniver Press (2008)
9.
go back to reference Sayadi, M.K., Ramezanian, R., Ghaffari-Nasab, N.: A discrete firefly meta-heuristic with local search for make span minimization in permutation flow shop scheduling problems. Int. J. Ind. Eng. Comput. 1(1), 1–10 (2010) Sayadi, M.K., Ramezanian, R., Ghaffari-Nasab, N.: A discrete firefly meta-heuristic with local search for make span minimization in permutation flow shop scheduling problems. Int. J. Ind. Eng. Comput. 1(1), 1–10 (2010)
10.
go back to reference Srivatsava, P.R., et al.: Optimal test sequence generation using firefly algorithm. Swarm Evol. Comput. 8, 44–45 (2013)CrossRef Srivatsava, P.R., et al.: Optimal test sequence generation using firefly algorithm. Swarm Evol. Comput. 8, 44–45 (2013)CrossRef
11.
go back to reference Horng, M.-H., Liou, R.-J.: Multilevel minimum cross entropy threshold selection based on the firefly algorithm. Expert Syst. Appl. 38, 14805–14811 (2011)CrossRef Horng, M.-H., Liou, R.-J.: Multilevel minimum cross entropy threshold selection based on the firefly algorithm. Expert Syst. Appl. 38, 14805–14811 (2011)CrossRef
12.
go back to reference Guo, L., Li, X., Gu, W.: Improved firefly algorithm to solve blocking pipeline scheduling problem. J. Intell. Syst. 8(1), 33–38 (2013) Guo, L., Li, X., Gu, W.: Improved firefly algorithm to solve blocking pipeline scheduling problem. J. Intell. Syst. 8(1), 33–38 (2013)
13.
go back to reference Roy, J.: Optimization of chemical reactors with respect to flow configuration. J. Optim. Theory Appl. 2(4), 240–259 (1968)MathSciNetCrossRef Roy, J.: Optimization of chemical reactors with respect to flow configuration. J. Optim. Theory Appl. 2(4), 240–259 (1968)MathSciNetCrossRef
14.
go back to reference Rajesh, J., Gupta, K., Kusumaker, H.S., Jayaraman, V.K., Kulkarni, B.D.: Dynamic optimization of chemical processes using ant colony framework. Comput. Chem. 25(6), 583–595 (2001)CrossRef Rajesh, J., Gupta, K., Kusumaker, H.S., Jayaraman, V.K., Kulkarni, B.D.: Dynamic optimization of chemical processes using ant colony framework. Comput. Chem. 25(6), 583–595 (2001)CrossRef
15.
go back to reference Zhang, B., Chen, D.: Iterative genetic algorithm and its application in feeding optimization of bioreactors. CIESC J. 56(1), 100–104 (2005) Zhang, B., Chen, D.: Iterative genetic algorithm and its application in feeding optimization of bioreactors. CIESC J. 56(1), 100–104 (2005)
16.
go back to reference Peng, X., Geng, R., Du, W., Qian, F.: An improved knowledge evolution algorithm and its application in chemical industry dynamic optimization. J. Chem. Ind. Eng. 63(3), 841–850 (2012) Peng, X., Geng, R., Du, W., Qian, F.: An improved knowledge evolution algorithm and its application in chemical industry dynamic optimization. J. Chem. Ind. Eng. 63(3), 841–850 (2012)
17.
go back to reference Liu, Z., Du, W., Pei, R., Qian, F.: Culture algorithm based on knowledge improvement and its application in chemical industry dynamic optimization. CIESC J. 61(11), 2889–2895 (2010) Liu, Z., Du, W., Pei, R., Qian, F.: Culture algorithm based on knowledge improvement and its application in chemical industry dynamic optimization. CIESC J. 61(11), 2889–2895 (2010)
Metadata
Title
Collaborative Firefly Algorithm for Solving Dynamic Control Model of Chemical Reaction Process System
Authors
Yuanbin Mo
Yanyue Lu
Yanzhui Ma
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-93815-8_42

Premium Partner