DocumentCode
3664057
Title
Fuzzy Comparison Dashboard for multi-objective evolutionary applications: An implementation in supply chain planning
Author
M.H. Fazel Zarandi;Mosahar Tarimoradi;M.H. Alavidoost;M.A. Shirazi
Author_Institution
Computational Intelligent Systems Laboratory, Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran
fYear
2015
Firstpage
1
Lastpage
6
Abstract
Comparison and ranking of evolutionary applications, especially the multi-objective ones, is a prevalent method in the literature for benchmarking, validation, and etc. It usually refers to the inquiries on how it should be carried out and what indexes for which one of the applications could be used. The aim of this paper is to propose a Fuzzy Comparison Dashboard (named FCD) for the applications which are based on the evolutionary algorithms to prepare a reliable perception for those who want to deploy them and judge or select one. The proposed FCD is put into practice for an invented bi-objective problem in supply chain planning and is solved with three numbers of similar Multi-Objective Evolutionary Algorithms (MOEAs) from the same family, i.e. NSGA-II, NRGA, and PESAII.
Keywords
"Indexes","Time measurement","Supply chains","Planning","Lead","Aggregates"
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American
Type
conf
DOI
10.1109/NAFIPS-WConSC.2015.7284197
Filename
7284197
Link To Document