Publication Type:

Journal Article

Source:

Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, Volume 13, Number 3, p.974-981 (2019)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062959474&doi=10.11591%2fijeecs.v13.i3.pp974-981&partnerID=40&md5=bc7f5813f999cddedf7800a65c60cca4

Abstract:

Scalarizing functions had long been observed for optimization of multi-objective problems. Scalarizing functions on multi-objective problem along with Differential Evolution (DE) algorithm variants had been used to analyze the effect of scalarizing functions. The main purpose is to find the better scalarizing function which can be applied for optimization. The effective solution of the multi-objective problem depends on the various factors like the DE algorithm and the scalarizing functions used. Multi objective evolutionary algorithm (MOEA) framework in java had been used for performing the analysis. The Obtained results showed that Tchebysheff scalarization function performs better than the other scalarizing functions on various indicator functions used. © 2019 Institute of Advanced Engineering and Science. All rights reserved.

Notes:

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Cite this Research Publication

D. Vasumathi and Thangavelu, S., “Scalarizing functions in solving multi-objective problem-an evolutionary approach”, Indonesian Journal of Electrical Engineering and Computer Science, vol. 13, pp. 974-981, 2019.