Application of Optimization Technique for Performance and Emission Characteristics of a CNG-Diesel Dual Fuel Engine: A Comparison Study

  • A. Adarsh Rai
  • B. R. Shrinivasa Rao
  • Narasimha K. Bailkeri
  • P. Srinivasa Pai
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 801)


This work is concerned with development of a hybrid optimization technique established on particle swarm optimization (PSO) and Firefly (FA) algorithm for simultaneous optimization of performance and emission characteristics (output characteristics) of CNG-Diesel dual fuel engine (DFE). The study focusses on a suitable objective function (OF) development based on ANN paradigm using RBF-ELM network and application of PSO, FA and hybrid PSO-FA algorithm for optimization. Though all the algorithms give similar predicted values for the inputs to obtain the optimized outputs, the focus on getting the optimal results in the least possible time with necessary stability has been exhibited by the hybrid model, which has not been attempted before for engine modeling applications, as per the authors’ literature survey.


CNG-Diesel Firefly PSO Hybrid optimization Dual fuel engine 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.NMAM Institute of Technology, NitteUdupi DistrictIndia

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