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

R. Venkata Rao (), Dhiraj P. Rai and J. Balic
Additional contact information
R. Venkata Rao: S. V. National Institute of Technology
Dhiraj P. Rai: S. V. National Institute of Technology
J. Balic: University of Maribor

Journal of Intelligent Manufacturing, 2019, vol. 30, issue 5, No 4, 2127 pages

Abstract: 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 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10845-017-1373-8

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