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Scalarizing functions in solving multi-objective problem-an evolutionary approach


 
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1. Title Title of document Scalarizing functions in solving multi-objective problem-an evolutionary approach
 
2. Creator Author's name, affiliation, country D. Vasumathi; Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham; India
 
2. Creator Author's name, affiliation, country Thangavelu S; Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham; India
 
3. Subject Discipline(s) CSE, IT
 
3. Subject Keyword(s) Differential evolution;scalarizing functions; Indicator functions; MOEA framework; Multi-objective problems;
 
4. Description 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.

 
5. Publisher Organizing agency, location Institute of Advanced Engineering and Science
 
6. Contributor Sponsor(s) NA
 
7. Date (YYYY-MM-DD) 2019-03-01
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://ijeecs.iaescore.com/index.php/IJEECS/article/view/14164
 
10. Identifier Digital Object Identifier (DOI) http://doi.org/10.11591/ijeecs.v13.i3.pp974-981
 
11. Source Title; vol., no. (year) Indonesian Journal of Electrical Engineering and Computer Science; Vol 13, No 3: March 2019
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2018 Institute of Advanced Engineering and Science
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