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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)

Abstract

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.

Keywords

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

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Copyright information

© 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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