Fuzzy Comparison Dashboard for multi-objective evolutionary applications: An implementation in supply chain planning
M.H. Fazel Zarandi, Mosahar Tarimoradi, M.H. Alavidoost, Mohsen Akbarpour Shirazi · 2015
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.