Design Optimization of Plate-Fin Heat Exchanger by Using Modified Jaya Algorithm

  • Kiran Chunilal MoreEmail author
  • R. Venkata Rao
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 949)


In the present paper, bi-objective optimization of plate-fin heat exchanger (PFHE) is considered. An advanced optimization algorithms called TLBO, Jaya algorithm (JA), and its modified version known as self-adaptive Jaya algorithms are applied for the design and optimization of PFHE. The minimization of cost and volume of PFHE is selected as an objective function and optimized both objective functions simultaneously. The outcomes achieved by TLBO, JA, and modified JA for considered optimization problems are found superior as compared to particle swarm optimization (PSO) and genetic algorithm (GA). In case of function evaluations, computational time and population size demanded by the modified JA are lesser than various algorithms. In case of combined objective function, the results found by TLBO, JA, and modified JA are 11.84% better in volume and 12.41% better in the total cost as associated with the outcomes using GA.


Plate-fin heat exchanger Jaya algorithm Modified Jaya algorithm Bi-objective 


  1. 1.
    Reneaume, J.M., Niclout, N.: MINLP optimization of plate-fin heat exchangers. Chem. Biochem. Eng. Q. 17, 65–76 (2003)Google Scholar
  2. 2.
    Jorge, A.W., Gut, M., Pinto, J.M.: Optimal configuration design for plate heat exchangers. Int. J. Heat Mass Trans. 47, 4833–4848 (2004)CrossRefGoogle Scholar
  3. 3.
    Peng, H., Ling, X.: Optimal design approach for the plate-fin heat exchangers using neural networks cooperated with genetic algorithms. Appl. Therm. Eng. 28, 642–650 (2008)CrossRefGoogle Scholar
  4. 4.
    Yu, X.C., Cui, Z.Q.,Yu, Y.: Fuzzy optimal design of the plate-fin heat exchangers by particle swarm optimization. In: Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, pp. 574–578, Jinan, China (2008)Google Scholar
  5. 5.
    Xie, G.N., Sunden, B., Wang, Q.W.: Optimization of compact heat exchangers by a genetic algorithm. Appl. Therm. Eng. 28, 895–906 (2008)CrossRefGoogle Scholar
  6. 6.
    Rao, R.V., Patel, V.K.: Thermodynamic optimization of cross flow PFHE using a particle swarm optimization algorithm. Int. J. Therm. Sci. 49, 1712–1721 (2010)CrossRefGoogle Scholar
  7. 7.
    Najafi, H., Najafi, B., Hoseinpoori, P.: Energy and cost optimization of a plate and fin heat exchanger using genetic Algorithm. Appl. Therm. Eng. 31, 1839–1847 (2011)CrossRefGoogle Scholar
  8. 8.
    Patel, V.K., Rao, R.V.: Design optimization of shell-and-tub heat exchanger using particle swarm optimization technique. Appl. Therm. Eng. 30(11–12), 1417–1425 (2010)CrossRefGoogle Scholar
  9. 9.
    Ayala, H.V.H., Keller, P., Morais, M.D.F., Mariani, V.C., Coelho, L.D.S., Rao, R.V.: Design of heat exchangers using a novel biobjective free search differential evaluation paradigm. Appl. Therm. Eng. 94, 170–177 (2016)CrossRefGoogle Scholar
  10. 10.
    Turgut, O.E., Çoban, M.T.: Thermal design of spiral heat exchangers and heat pipes through global best algorithm. Heat. Mass. Trans. 1–18 (2016)Google Scholar
  11. 11.
    Wen J, Yang H., Tong X, Li K., Wang S., LiY. Configuration parameters design and optimization for plate-fin heat exchangers with serrated fin by bi-objective genetic algorithm. Energ. Convers. Manage. 117, 482–489 (2017)CrossRefGoogle Scholar
  12. 12.
    Rao, R.V., More, K.C., Taler, J., Ocłoń, P.: Bi-objective optimization of a thermo-acoustic engine using TLBO algorithm. Sci. Tech. Buil. Envir. 23(8), 1244–1252 (2016)CrossRefGoogle Scholar
  13. 13.
    Rao, R.V.: Jaya: a simple and new optimization algorithm for solving constrained and unconstrained optimization problems. Int. J. Indus. Engg. Comput. 7(1), 19–34 (2016)Google Scholar
  14. 14.
    Rao, R.V., More, K.C., Taler, J., Ocłoń, P.: Dimensional optimization of a micro-channel heat sink using Jaya algorithm. Appl. Therm. Engg. 103, 572–582 (2016)CrossRefGoogle Scholar
  15. 15.
    Rao, R.V., More, K.C.: Optimal design and analysis of mechanical draft cooling tower using improved Jaya algorithm. Int. J. Refriger. 82, 312–324 (2017)CrossRefGoogle Scholar
  16. 16.
    Rao, R.V., More, K.C., Coelho L.S., Mariani V.C.: Optimal design of the Stirling heat engine through improved Jaya algorithm. J. Renew. Sustain. Energ. 9, 033703 (2017)Google Scholar

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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringDYPatil Institute of Engineering and TechnologyPuneIndia
  2. 2.Department of Mechanical EngineeringSardar Vallabhbhai National Institute of TechnologySuratIndia

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