Multi-objective optimization of abrasive waterjet machining process using Jaya algorithm and PROMETHEE Method

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Abstract

In this work, the process parameters optimization problems of abrasive waterjet machining process are solved using a recently proposed metaheuristic optimization algorithm named as Jaya algorithm and its posteriori version named as multi-objective Jaya (MO-Jaya) algorithm. The results of Jaya and MO-Jaya algorithms are compared with the results obtained by other well-known optimization algorithms such as simulated annealing, particle swam optimization, firefly algorithm, cuckoo search algorithm, blackhole algorithm and bio-geography based optimization. A hypervolume performance metric is used to compare the results of MO-Jaya algorithm with the results of non-dominated sorting genetic algorithm and non-dominated sorting teaching–learning-based optimization algorithm. The results of Jaya and MO-Jaya algorithms are found to be better as compared to the other optimization algorithms. In addition, a multi-objective decision making method named PROMETHEE method is applied in this work in order to select a particular solution out-of the multiple Pareto-optimal solutions provided by MO-Jaya algorithm which best suits the requirements of the process planer.

Keywords

Multiobjective decision making Abrasive waterjet machining process Jaya algorithm PROMETHEE Hypervolume 

Notes

Acknowledgements

The Authors are thankful to the Department of Science and Technology (DST), India and the Slovenian Research Agency (ARRS), Slovenia for providing the financial support for the project entitled “Optimization of Sustainable Advanced Manufacturing Processes”.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringS. V. National Institute of TechnologySuratIndia
  2. 2.University of MariborMariborSlovenia

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